#100daysofdatascience wyniki wyszukiwania

Revisited File Handling in Python today ๐Ÿ“‚ Learned how to read, write, and append data safely using with open() Even built a small error logger program ๐Ÿ’ป #Python #100DaysOfDataScience #LearningInPublic

sh63425's tweet image. Revisited File Handling in Python today ๐Ÿ“‚
Learned how to read, write, and append data safely using with open()
Even built a small error logger program ๐Ÿ’ป
#Python #100DaysOfDataScience #LearningInPublic
sh63425's tweet image. Revisited File Handling in Python today ๐Ÿ“‚
Learned how to read, write, and append data safely using with open()
Even built a small error logger program ๐Ÿ’ป
#Python #100DaysOfDataScience #LearningInPublic

#Day90 of #100DaysOfDataScience ๐Ÿ”น ๐—จ๐—ป๐˜€๐˜‚๐—ฝ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐˜€๐—ฒ๐—ฑ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด = "๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐˜„๐—ถ๐˜๐—ต๐—ผ๐˜‚๐˜ ๐—”๐—ป๐˜€๐˜„๐—ฒ๐—ฟ๐˜€" Clustering | Dim. Reduction ๐Ÿงฉ LC 1005 โ€“ Maximize Sum After K Negations #MachineLearning #DataScience #AI #ML #LeetCode

ajay_thakur_02's tweet image. #Day90 of #100DaysOfDataScience

๐Ÿ”น ๐—จ๐—ป๐˜€๐˜‚๐—ฝ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐˜€๐—ฒ๐—ฑ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด = "๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐˜„๐—ถ๐˜๐—ต๐—ผ๐˜‚๐˜ ๐—”๐—ป๐˜€๐˜„๐—ฒ๐—ฟ๐˜€"
Clustering | Dim. Reduction
๐Ÿงฉ LC 1005 โ€“ Maximize Sum After K Negations
#MachineLearning #DataScience #AI #ML #LeetCode
ajay_thakur_02's tweet image. #Day90 of #100DaysOfDataScience

๐Ÿ”น ๐—จ๐—ป๐˜€๐˜‚๐—ฝ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐˜€๐—ฒ๐—ฑ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด = "๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐˜„๐—ถ๐˜๐—ต๐—ผ๐˜‚๐˜ ๐—”๐—ป๐˜€๐˜„๐—ฒ๐—ฟ๐˜€"
Clustering | Dim. Reduction
๐Ÿงฉ LC 1005 โ€“ Maximize Sum After K Negations
#MachineLearning #DataScience #AI #ML #LeetCode
ajay_thakur_02's tweet image. #Day90 of #100DaysOfDataScience

๐Ÿ”น ๐—จ๐—ป๐˜€๐˜‚๐—ฝ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐˜€๐—ฒ๐—ฑ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด = "๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐˜„๐—ถ๐˜๐—ต๐—ผ๐˜‚๐˜ ๐—”๐—ป๐˜€๐˜„๐—ฒ๐—ฟ๐˜€"
Clustering | Dim. Reduction
๐Ÿงฉ LC 1005 โ€“ Maximize Sum After K Negations
#MachineLearning #DataScience #AI #ML #LeetCode

Day-9: 100 Days Of Data Science Below are the topics I covered Today. => Lambda Function => List Comprehension => Random Module #100DaysOfDataScience #100DaysOfCode

TheAbbasAli_'s tweet image. Day-9: 100 Days Of Data Science

Below are the topics I covered Today.

=> Lambda Function
=> List Comprehension
=> Random Module

#100DaysOfDataScience #100DaysOfCode

Day 2 of #100DaysOfDataScience -> Continued with Campus videos -> started learning about more Libraries like matplotlib scikit-learn

__Rupal__'s tweet image. Day 2 of #100DaysOfDataScience
-> Continued with Campus  videos
-> started learning about more Libraries like matplotlib  scikit-learn

Day 1 of #100DaysOfDataScience Although started learning 20 days back, but I'll post from today. The things I did: -> practiced Python codes -> started 100 days ml by campusx -> Completed numpy and pandas(1 topic left) from geekforgeeks Ps: laptop gone for repair, it crashed

__Rupal__'s tweet image. Day 1 of #100DaysOfDataScience
Although started learning 20 days back, but I'll post from today.

The things I did:
-> practiced Python codes
-> started 100 days ml by campusx
-> Completed numpy and pandas(1 topic left) from geekforgeeks

Ps: laptop gone for repair, it crashed

Hey everyone! ๐Ÿ‘‹๐Ÿค— It's #Day9 of #100DaysOfDataScience ๐Ÿ˜‡ Today was highly productive!๐Ÿ˜Š I revised Python libraries pandas, numpy, matplotlib, and seaborn then studied statistics for data science ๐Ÿ˜Œ also created a project that converts images to sketches using Python๐Ÿ˜ SYT๐Ÿ‘‹

itz_shu6h's tweet image. Hey everyone! ๐Ÿ‘‹๐Ÿค—

It's #Day9 of #100DaysOfDataScience ๐Ÿ˜‡

Today was highly productive!๐Ÿ˜Š

I revised Python libraries pandas, numpy, matplotlib, and seaborn then studied statistics for data science ๐Ÿ˜Œ

also created a project that converts images to sketches using Python๐Ÿ˜

SYT๐Ÿ‘‹
itz_shu6h's tweet image. Hey everyone! ๐Ÿ‘‹๐Ÿค—

It's #Day9 of #100DaysOfDataScience ๐Ÿ˜‡

Today was highly productive!๐Ÿ˜Š

I revised Python libraries pandas, numpy, matplotlib, and seaborn then studied statistics for data science ๐Ÿ˜Œ

also created a project that converts images to sketches using Python๐Ÿ˜

SYT๐Ÿ‘‹

Hey everyone! It's Day 91 of #100DaysOfDataScience! Today, I covered ,bi-directional RNNs also implemented various RNN variants and word embeddings. Additionally, I gained understanding of the encoder-decoder architecture, the attention mechanism. That's all for today! ๐Ÿ˜Š

itz_shu6h's tweet image. Hey everyone!

It's Day 91 of #100DaysOfDataScience!

Today, I covered ,bi-directional RNNs also implemented various RNN variants and word embeddings. Additionally, I gained understanding of the encoder-decoder architecture, the attention mechanism.

That's all for today! ๐Ÿ˜Š
itz_shu6h's tweet image. Hey everyone!

It's Day 91 of #100DaysOfDataScience!

Today, I covered ,bi-directional RNNs also implemented various RNN variants and word embeddings. Additionally, I gained understanding of the encoder-decoder architecture, the attention mechanism.

That's all for today! ๐Ÿ˜Š
itz_shu6h's tweet image. Hey everyone!

It's Day 91 of #100DaysOfDataScience!

Today, I covered ,bi-directional RNNs also implemented various RNN variants and word embeddings. Additionally, I gained understanding of the encoder-decoder architecture, the attention mechanism.

That's all for today! ๐Ÿ˜Š
itz_shu6h's tweet image. Hey everyone!

It's Day 91 of #100DaysOfDataScience!

Today, I covered ,bi-directional RNNs also implemented various RNN variants and word embeddings. Additionally, I gained understanding of the encoder-decoder architecture, the attention mechanism.

That's all for today! ๐Ÿ˜Š

Hey!! It's #day 88 of #100DaysOfDataScience ! ๐Ÿ˜ Today, I dove deeper into ANN and worked on its implementation. I also completed a mini project using a simple RNN for text classification โœŒ๏ธ That's all for today! ๐Ÿ˜Œ See you tomorrow! ๐Ÿ‘‹

itz_shu6h's tweet image. Hey!!

It's #day 88 of #100DaysOfDataScience ! ๐Ÿ˜

Today, I dove deeper into ANN and worked on its implementation. I also completed a mini project using a simple RNN for text classification โœŒ๏ธ

That's all for today! ๐Ÿ˜Œ

See you tomorrow! ๐Ÿ‘‹
itz_shu6h's tweet image. Hey!!

It's #day 88 of #100DaysOfDataScience ! ๐Ÿ˜

Today, I dove deeper into ANN and worked on its implementation. I also completed a mini project using a simple RNN for text classification โœŒ๏ธ

That's all for today! ๐Ÿ˜Œ

See you tomorrow! ๐Ÿ‘‹
itz_shu6h's tweet image. Hey!!

It's #day 88 of #100DaysOfDataScience ! ๐Ÿ˜

Today, I dove deeper into ANN and worked on its implementation. I also completed a mini project using a simple RNN for text classification โœŒ๏ธ

That's all for today! ๐Ÿ˜Œ

See you tomorrow! ๐Ÿ‘‹
itz_shu6h's tweet image. Hey!!

It's #day 88 of #100DaysOfDataScience ! ๐Ÿ˜

Today, I dove deeper into ANN and worked on its implementation. I also completed a mini project using a simple RNN for text classification โœŒ๏ธ

That's all for today! ๐Ÿ˜Œ

See you tomorrow! ๐Ÿ‘‹

Hey!!๐Ÿ‘‹๐Ÿค— It's #Day 84 of #100DaysOfDataScience! ๐Ÿ˜ Today, I explored CNNs, learning about their similarities to the human brain, convolution, padding, pooling, flattening, and how ANN steps integrate into CNNs ๐ŸคŸ๐Ÿ˜‡ That's all for today!๐Ÿ‘‹โ˜บ๏ธ

itz_shu6h's tweet image. Hey!!๐Ÿ‘‹๐Ÿค—

It's #Day 84 of #100DaysOfDataScience! ๐Ÿ˜

Today, I explored CNNs, learning about their similarities to the human brain, convolution, padding, pooling, flattening, and how ANN steps integrate into CNNs ๐ŸคŸ๐Ÿ˜‡

That's all for today!๐Ÿ‘‹โ˜บ๏ธ
itz_shu6h's tweet image. Hey!!๐Ÿ‘‹๐Ÿค—

It's #Day 84 of #100DaysOfDataScience! ๐Ÿ˜

Today, I explored CNNs, learning about their similarities to the human brain, convolution, padding, pooling, flattening, and how ANN steps integrate into CNNs ๐ŸคŸ๐Ÿ˜‡

That's all for today!๐Ÿ‘‹โ˜บ๏ธ
itz_shu6h's tweet image. Hey!!๐Ÿ‘‹๐Ÿค—

It's #Day 84 of #100DaysOfDataScience! ๐Ÿ˜

Today, I explored CNNs, learning about their similarities to the human brain, convolution, padding, pooling, flattening, and how ANN steps integrate into CNNs ๐ŸคŸ๐Ÿ˜‡

That's all for today!๐Ÿ‘‹โ˜บ๏ธ
itz_shu6h's tweet image. Hey!!๐Ÿ‘‹๐Ÿค—

It's #Day 84 of #100DaysOfDataScience! ๐Ÿ˜

Today, I explored CNNs, learning about their similarities to the human brain, convolution, padding, pooling, flattening, and how ANN steps integrate into CNNs ๐ŸคŸ๐Ÿ˜‡

That's all for today!๐Ÿ‘‹โ˜บ๏ธ

-did some basic readings today nothing much - solved array problem - trying to get regular on leetcode :( -deep knowledge is the goal #100DaysOfAI -learnt model , inference , predictions #100DaysofDataScience -understood culture & expectations of a data scientist

DeeptiMisr's tweet image. -did some basic readings today nothing much 
- solved array problem 
- trying to get regular on leetcode :(
-deep knowledge is the goal 
#100DaysOfAI 
-learnt model , inference , predictions 
#100DaysofDataScience 
-understood culture & expectations of a data scientist

Hey!!โ˜บ๏ธ It's #Day 86 of #100DaysOfDataScience! ๐Ÿ˜ Today, I delved deeper into the implementation of ANN and started learning RNNs. I got a brief introduction to their architecture and functionality ๐Ÿ˜‡ That's all for today!๐Ÿค˜

itz_shu6h's tweet image. Hey!!โ˜บ๏ธ

It's #Day 86 of #100DaysOfDataScience! ๐Ÿ˜

Today, I delved deeper into the implementation of ANN and started learning RNNs. I got a brief introduction to their architecture and functionality ๐Ÿ˜‡

That's all for today!๐Ÿค˜
itz_shu6h's tweet image. Hey!!โ˜บ๏ธ

It's #Day 86 of #100DaysOfDataScience! ๐Ÿ˜

Today, I delved deeper into the implementation of ANN and started learning RNNs. I got a brief introduction to their architecture and functionality ๐Ÿ˜‡

That's all for today!๐Ÿค˜
itz_shu6h's tweet image. Hey!!โ˜บ๏ธ

It's #Day 86 of #100DaysOfDataScience! ๐Ÿ˜

Today, I delved deeper into the implementation of ANN and started learning RNNs. I got a brief introduction to their architecture and functionality ๐Ÿ˜‡

That's all for today!๐Ÿค˜
itz_shu6h's tweet image. Hey!!โ˜บ๏ธ

It's #Day 86 of #100DaysOfDataScience! ๐Ÿ˜

Today, I delved deeper into the implementation of ANN and started learning RNNs. I got a brief introduction to their architecture and functionality ๐Ÿ˜‡

That's all for today!๐Ÿค˜

Hey! Itโ€™s Day 87 of the #100DaysOfDataScience! Today, I explored Simple RNNs, focusing on the intuition behind forward and backward propagation, along with some challenges associated with it. While implementing, I also learned about word embedding layers. Thatโ€™s all for today!

itz_shu6h's tweet image. Hey!

Itโ€™s Day 87 of the #100DaysOfDataScience!

Today, I explored Simple RNNs, focusing on the intuition behind forward and backward propagation, along with some challenges associated with it. While implementing, I also learned about word embedding layers.

Thatโ€™s all for today!
itz_shu6h's tweet image. Hey!

Itโ€™s Day 87 of the #100DaysOfDataScience!

Today, I explored Simple RNNs, focusing on the intuition behind forward and backward propagation, along with some challenges associated with it. While implementing, I also learned about word embedding layers.

Thatโ€™s all for today!
itz_shu6h's tweet image. Hey!

Itโ€™s Day 87 of the #100DaysOfDataScience!

Today, I explored Simple RNNs, focusing on the intuition behind forward and backward propagation, along with some challenges associated with it. While implementing, I also learned about word embedding layers.

Thatโ€™s all for today!
itz_shu6h's tweet image. Hey!

Itโ€™s Day 87 of the #100DaysOfDataScience!

Today, I explored Simple RNNs, focusing on the intuition behind forward and backward propagation, along with some challenges associated with it. While implementing, I also learned about word embedding layers.

Thatโ€™s all for today!

๐Ÿ“š๐Ÿ“Š On Day 4 of my #100DaysOfDataScience challenge, I delved into the fascinating world of Regression Analysis. ๐Ÿ“ˆ Regression Analysis: Regression Analysis is a statistical method used to model the relationship between a dependent variable and one or more independent variables.

anandacdr's tweet image. ๐Ÿ“š๐Ÿ“Š On Day 4 of my #100DaysOfDataScience challenge, I delved into the fascinating world of Regression Analysis.
๐Ÿ“ˆ Regression Analysis: Regression Analysis is a statistical method used to model the relationship between a dependent variable and one or more independent variables.

Days 24, started Introduction to Statistics in R. #100DaysOfCode #100DaysOfDataScience #Statistics #R @DataCamp

BigBIsWatch1984's tweet image. Days 24, started Introduction to Statistics in R. #100DaysOfCode #100DaysOfDataScience #Statistics #R @DataCamp

Hey!! It's Day 89 of #100DaysOfDataScience! ๐Ÿ˜ Today, I studied LSTM RNNโ€”its intro, why it's imp , its architecture, and how it works. I learned about the forget gate, input gate, candidate memory, output gate, and explored the mathematical intuition๐Ÿค˜ That's all for today!โœŒ๏ธ

itz_shu6h's tweet image. Hey!!

It's Day 89 of #100DaysOfDataScience! ๐Ÿ˜

Today, I studied LSTM RNNโ€”its intro, why it's imp , its architecture, and how it works. I learned about the forget gate, input gate, candidate memory, output gate, and explored the mathematical intuition๐Ÿค˜

That's all for today!โœŒ๏ธ
itz_shu6h's tweet image. Hey!!

It's Day 89 of #100DaysOfDataScience! ๐Ÿ˜

Today, I studied LSTM RNNโ€”its intro, why it's imp , its architecture, and how it works. I learned about the forget gate, input gate, candidate memory, output gate, and explored the mathematical intuition๐Ÿค˜

That's all for today!โœŒ๏ธ
itz_shu6h's tweet image. Hey!!

It's Day 89 of #100DaysOfDataScience! ๐Ÿ˜

Today, I studied LSTM RNNโ€”its intro, why it's imp , its architecture, and how it works. I learned about the forget gate, input gate, candidate memory, output gate, and explored the mathematical intuition๐Ÿค˜

That's all for today!โœŒ๏ธ

day4: sourcing data from public domain #100daysofdatascience

abdulBNBAAZ's tweet image. day4: sourcing data from public domain
#100daysofdatascience

day 3 sourcing data from API's(i.e application programming interface) #100daysofdatascience

abdulBNBAAZ's tweet image. day 3 sourcing data from API's(i.e application programming interface)
#100daysofdatascience


Day 1. Today, I delved into the fascinating world of Simple Linear Regression in my #100DaysOfDataScience challenge. I'm excited to explore more advanced regression techniques and apply them to real-world datasets. Stay tuned for more updates! Read More linkedin.com/posts/ananda-cโ€ฆ

anandacdr's tweet image. Day 1. Today,  I delved into the fascinating world of Simple Linear Regression in my #100DaysOfDataScience challenge.
I'm excited to explore more advanced regression techniques and apply them to real-world datasets. Stay tuned for more updates!
Read More
linkedin.com/posts/ananda-cโ€ฆ
anandacdr's tweet image. Day 1. Today,  I delved into the fascinating world of Simple Linear Regression in my #100DaysOfDataScience challenge.
I'm excited to explore more advanced regression techniques and apply them to real-world datasets. Stay tuned for more updates!
Read More
linkedin.com/posts/ananda-cโ€ฆ

๐Ÿ“ Day 37 of #100DaysOfDataScience Dived into Hierarchical Clustering ๐ŸŒณ โœ… Builds dendrograms to show data similarity ๐Ÿ”น Types: Agglomerative & Divisive ๐Ÿ“Š Linkage methods shape clusters โšก Great for small datasets & relationship insights #MachineLearning #DataScience #Python

KhurdYug's tweet image. ๐Ÿ“ Day 37 of #100DaysOfDataScience
Dived into Hierarchical Clustering ๐ŸŒณ
โœ… Builds dendrograms to show data similarity
๐Ÿ”น Types: Agglomerative  & Divisive
๐Ÿ“Š Linkage methods shape clusters
โšก Great for small datasets & relationship insights

#MachineLearning #DataScience #Python
KhurdYug's tweet image. ๐Ÿ“ Day 37 of #100DaysOfDataScience
Dived into Hierarchical Clustering ๐ŸŒณ
โœ… Builds dendrograms to show data similarity
๐Ÿ”น Types: Agglomerative  & Divisive
๐Ÿ“Š Linkage methods shape clusters
โšก Great for small datasets & relationship insights

#MachineLearning #DataScience #Python

Revisited File Handling in Python today ๐Ÿ“‚ Learned how to read, write, and append data safely using with open() Even built a small error logger program ๐Ÿ’ป #Python #100DaysOfDataScience #LearningInPublic

sh63425's tweet image. Revisited File Handling in Python today ๐Ÿ“‚
Learned how to read, write, and append data safely using with open()
Even built a small error logger program ๐Ÿ’ป
#Python #100DaysOfDataScience #LearningInPublic
sh63425's tweet image. Revisited File Handling in Python today ๐Ÿ“‚
Learned how to read, write, and append data safely using with open()
Even built a small error logger program ๐Ÿ’ป
#Python #100DaysOfDataScience #LearningInPublic

Day 91 Made some corrections and refinements in my Tableau dashboards #100DaysOfDataScience #Tableau #DataVisualization #DataAnalytics


Day 90 Focused on the art behind the numbers: - Data Cleaning & Feature Engineering - Turning insights into stories through Data Storytelling - Defined Business KPIs that actually drive decision #100DaysOfDataScience #DataAnalytics #FeatureEngineering #PowerBI


Day 89 Back to strengthening the fundamentals! - Core Python & OOPs - NumPy & Pandas - Matplotlib & Seaborn - Revisited EDA concepts and performed detailed EDA on the Zomato dataset #100DaysOfDataScience #Python #EDA #DataAnalysis


Day 88 Another intense learning day! Solved assignments on: - Decision Tree, KNN, Neural Networks - Random Forest, SVM - Time Series, XGBoost, LightGBM - NLP & Naive Bayes #100DaysOfDataScience #MachineLearning #AI #Learning


Day: 01 to journey of Data science AI/ML learning by @sheryians_ Today's i learn about: - Comments, Variables and Datatypes - Strings and Type conversion #100DaysOfDataScience #Python #ai #ml

LitPersona_mie's tweet image. Day: 01 to journey of Data science AI/ML learning by @sheryians_ 
Today's i learn about:

- Comments, Variables and Datatypes
- Strings and Type conversion

#100DaysOfDataScience #Python #ai #ml

Day 87 Productive day! Solved assignments on: - EDA - Hypothesis Testing - Logistic Regression - Multiple Linear Regression - PCA - Recommendation Systems Covering key pillars of Data Science, one concept at a time #100DaysOfDataScience #MachineLearning #DataAnalytics


Day 86 Completed SQL assignments and started diving into Statistics today! Step by step building strong foundations for Data Science #100DaysOfDataScience #DataAnalytics #LearningInPublic


Day 85 Completed: SQL assignments Tableau assignments Built more confidence in data querying & data visualization. Step by step, getting better every day #100DaysOfDataScience #DataAnalytics #SQL #Tableau #LearningInPublic


Day 84 Explored Tool Calling and Tool Binding in LangChain Andโ€ฆ created my first AI Agent Watching separate components come together to make an intelligent workflow feels amazing! #100DaysOfDataScience #LangChain #AIAgents #GenerativeAI #LLM


Day 83 Deep dive into LangChain continues - Learned about Retrievers and RAG (Retrieval-Augmented Generation) - Built a YouTube Chatbot using RAG - Explored Tools in LangChain #100DaysOfDataScience #LangChain #RAG #GenerativeAI #LLM


Day 82 Back after a short break Started working on Tableau assignments Also began applying for part-time jobs to support myself while continuing this journey. #100DaysOfDataScience #Tableau #Learning #Consistency


#Day3 It started from 20th October. Posting all the targets of today hope so I make it... Will report whole week progress on Saturday... #100daysofdatascience

Sahilssi1786's tweet image. #Day3
It started from 20th October.
Posting all the targets of today hope so I make it...
Will report whole week progress  on Saturday...

#100daysofdatascience

Its been 3 days, I started my grind to get an internship in Field of Data Science ๐Ÿ’ป My goal: l and a job in a year ๐Ÿ‘จโ€๐Ÿ’ป Iโ€™ll be posting my daily progress, code snippets, and updates here stay tuned! ๐Ÿš€ #100daysofdatascience #learning #Showingupdaily

Sahilssi1786's tweet image. Its been 3 days, I started my grind to get an internship in Field of Data Science   ๐Ÿ’ป
My goal: l and a job in a year ๐Ÿ‘จโ€๐Ÿ’ป
Iโ€™ll be posting my daily progress, code snippets, and updates here stay tuned! ๐Ÿš€
#100daysofdatascience
#learning
#Showingupdaily

Day 81 Continued with LangChain exploration Covered: - Runnables - Document Loaders - Text Splitters Learning how to process and prepare text data efficiently for LLM workflows #100DaysOfDataScience #LangChain #LLM #GenerativeAI


Day 80 Explored Runnables in LangChain from scratch Understood how they provide a unified interface for building, composing, and executing LLM components efficiently. #100DaysOfDataScience #LangChain #GenerativeAI #LLM


Day 79 Explored Chains in LangChain Covered: - Simple Chains - Sequential Chains - Parallel Chains - Conditional Chains #100DaysOfDataScience #LangChain #LLM #GenerativeAI


Day 78 Couldnโ€™t do much today โ€” Diwali safai took over ๐Ÿงน๐Ÿ˜‚ (just realized how big my home actually is) Still managed to squeeze in some learning โ€” explored Triggers in SQL #100DaysOfDataScience #SQL #Learning #Diwali


Day 6 โ€” Data Science Journey ๐Ÿš€ Learned about file handling in Python today! Tried reading, writing & appending files using open() and with. Feels good to understand how data is stored and accessed ๐Ÿ’ป #100DaysOfDataScience #LearningInPublic #Python #CodeWithHarry #DataScience

sh63425's tweet image. Day 6 โ€” Data Science Journey ๐Ÿš€
Learned about file handling in Python today!
Tried reading, writing & appending files using open() and with.
Feels good to understand how data is stored and accessed ๐Ÿ’ป

#100DaysOfDataScience #LearningInPublic #Python #CodeWithHarry 
#DataScience

Day 77 Explored Output Parsers in LangChain Covered: ๐Ÿ”น String Output Parser ๐Ÿ”น JSON Output Parser ๐Ÿ”น Structured Output Parser ๐Ÿ”น Pydantic Output Parser Understanding how to control and structure LLM outputs efficiently #100DaysOfDataScience #LangChain #GenerativeAI #LLM


Brak wynikรณw dla โ€ž#100daysofdatascienceโ€

๐ŸŽ‰ Day 7 of #100DaysOfDataScience Built a mini project: Student Score Analyzer ๐Ÿ“Š โœ… Took inputs using functions, loops, and dictionaries โœ… Calculated grades & printed a summary A solid wrap-up to Week 1! ๐Ÿ’ป #Python #DataScience #ML

KhurdYug's tweet image. ๐ŸŽ‰ Day 7 of #100DaysOfDataScience
Built a mini project: Student Score Analyzer ๐Ÿ“Š
โœ… Took inputs using functions, loops, and dictionaries
โœ… Calculated grades & printed a summary
A solid wrap-up to Week 1! ๐Ÿ’ป

#Python #DataScience #ML
KhurdYug's tweet image. ๐ŸŽ‰ Day 7 of #100DaysOfDataScience
Built a mini project: Student Score Analyzer ๐Ÿ“Š
โœ… Took inputs using functions, loops, and dictionaries
โœ… Calculated grades & printed a summary
A solid wrap-up to Week 1! ๐Ÿ’ป

#Python #DataScience #ML

Day 6 โ€” Data Science Journey ๐Ÿš€ Learned about file handling in Python today! Tried reading, writing & appending files using open() and with. Feels good to understand how data is stored and accessed ๐Ÿ’ป #100DaysOfDataScience #LearningInPublic #Python #CodeWithHarry #DataScience

sh63425's tweet image. Day 6 โ€” Data Science Journey ๐Ÿš€
Learned about file handling in Python today!
Tried reading, writing & appending files using open() and with.
Feels good to understand how data is stored and accessed ๐Ÿ’ป

#100DaysOfDataScience #LearningInPublic #Python #CodeWithHarry 
#DataScience

Revisited File Handling in Python today ๐Ÿ“‚ Learned how to read, write, and append data safely using with open() Even built a small error logger program ๐Ÿ’ป #Python #100DaysOfDataScience #LearningInPublic

sh63425's tweet image. Revisited File Handling in Python today ๐Ÿ“‚
Learned how to read, write, and append data safely using with open()
Even built a small error logger program ๐Ÿ’ป
#Python #100DaysOfDataScience #LearningInPublic
sh63425's tweet image. Revisited File Handling in Python today ๐Ÿ“‚
Learned how to read, write, and append data safely using with open()
Even built a small error logger program ๐Ÿ’ป
#Python #100DaysOfDataScience #LearningInPublic

#Day90 of #100DaysOfDataScience ๐Ÿ”น ๐—จ๐—ป๐˜€๐˜‚๐—ฝ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐˜€๐—ฒ๐—ฑ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด = "๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐˜„๐—ถ๐˜๐—ต๐—ผ๐˜‚๐˜ ๐—”๐—ป๐˜€๐˜„๐—ฒ๐—ฟ๐˜€" Clustering | Dim. Reduction ๐Ÿงฉ LC 1005 โ€“ Maximize Sum After K Negations #MachineLearning #DataScience #AI #ML #LeetCode

ajay_thakur_02's tweet image. #Day90 of #100DaysOfDataScience

๐Ÿ”น ๐—จ๐—ป๐˜€๐˜‚๐—ฝ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐˜€๐—ฒ๐—ฑ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด = "๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐˜„๐—ถ๐˜๐—ต๐—ผ๐˜‚๐˜ ๐—”๐—ป๐˜€๐˜„๐—ฒ๐—ฟ๐˜€"
Clustering | Dim. Reduction
๐Ÿงฉ LC 1005 โ€“ Maximize Sum After K Negations
#MachineLearning #DataScience #AI #ML #LeetCode
ajay_thakur_02's tweet image. #Day90 of #100DaysOfDataScience

๐Ÿ”น ๐—จ๐—ป๐˜€๐˜‚๐—ฝ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐˜€๐—ฒ๐—ฑ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด = "๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐˜„๐—ถ๐˜๐—ต๐—ผ๐˜‚๐˜ ๐—”๐—ป๐˜€๐˜„๐—ฒ๐—ฟ๐˜€"
Clustering | Dim. Reduction
๐Ÿงฉ LC 1005 โ€“ Maximize Sum After K Negations
#MachineLearning #DataScience #AI #ML #LeetCode
ajay_thakur_02's tweet image. #Day90 of #100DaysOfDataScience

๐Ÿ”น ๐—จ๐—ป๐˜€๐˜‚๐—ฝ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐˜€๐—ฒ๐—ฑ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด = "๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐˜„๐—ถ๐˜๐—ต๐—ผ๐˜‚๐˜ ๐—”๐—ป๐˜€๐˜„๐—ฒ๐—ฟ๐˜€"
Clustering | Dim. Reduction
๐Ÿงฉ LC 1005 โ€“ Maximize Sum After K Negations
#MachineLearning #DataScience #AI #ML #LeetCode

#100DaysOfCode #100DaysOfDataScience Day 2/100 - completed 7-14 free LeetCode SQL problems - Reread chapter of Hands on ML with scikit learn on processing sequences with RNNs and CNNs - started reading SQL for Data Analysis

DavidCodesYT's tweet image. #100DaysOfCode  #100DaysOfDataScience Day 2/100
 - completed 7-14 free LeetCode SQL problems
 - Reread chapter of Hands on ML with scikit learn on processing sequences with RNNs and CNNs
 - started reading SQL for Data Analysis

Day-5: 100 Days Of Data Science Completed MySQLโœ…. Topics covered today, => DDL: -> CREATE TABLE -> ALTER TABLE (ADD, MODIFY, AND DROP) -> RENAME -> TRUNCATE -> DELETE =>DCL: -> GRANT -> REVOKE => TCL: -> COMMIT -> ROLLBACK #100DaysOfDataScience #100DaysOfCode

TheAbbasAli_'s tweet image. Day-5: 100 Days Of Data Science

Completed MySQLโœ…. 

Topics covered today,

=> DDL:   
-> CREATE TABLE
-> ALTER TABLE (ADD, MODIFY, AND DROP)
-> RENAME   
-> TRUNCATE
-> DELETE   

=>DCL:
-> GRANT
-> REVOKE 

=> TCL:
-> COMMIT  
-> ROLLBACK

#100DaysOfDataScience #100DaysOfCode
TheAbbasAli_'s tweet image. Day-5: 100 Days Of Data Science

Completed MySQLโœ…. 

Topics covered today,

=> DDL:   
-> CREATE TABLE
-> ALTER TABLE (ADD, MODIFY, AND DROP)
-> RENAME   
-> TRUNCATE
-> DELETE   

=>DCL:
-> GRANT
-> REVOKE 

=> TCL:
-> COMMIT  
-> ROLLBACK

#100DaysOfDataScience #100DaysOfCode

Days 24, started Introduction to Statistics in R. #100DaysOfCode #100DaysOfDataScience #Statistics #R @DataCamp

BigBIsWatch1984's tweet image. Days 24, started Introduction to Statistics in R. #100DaysOfCode #100DaysOfDataScience #Statistics #R @DataCamp

#100DaysOfCode #100DaysOfDataScience Day 1/100 - completed first few LeetCode SQL problems I found out about thanks to @pilatesdev's tweet - revised window functions - read first chapter of Practical Natural Language Processing - will be doing more before the day ends

DavidCodesYT's tweet image. #100DaysOfCode  #100DaysOfDataScience Day 1/100
 - completed first few LeetCode SQL problems I found out about thanks to @pilatesdev's tweet
 - revised window functions
 - read first chapter of Practical Natural Language Processing 
 - will be doing more before the day ends

Hey!! It's #day 88 of #100DaysOfDataScience ! ๐Ÿ˜ Today, I dove deeper into ANN and worked on its implementation. I also completed a mini project using a simple RNN for text classification โœŒ๏ธ That's all for today! ๐Ÿ˜Œ See you tomorrow! ๐Ÿ‘‹

itz_shu6h's tweet image. Hey!!

It's #day 88 of #100DaysOfDataScience ! ๐Ÿ˜

Today, I dove deeper into ANN and worked on its implementation. I also completed a mini project using a simple RNN for text classification โœŒ๏ธ

That's all for today! ๐Ÿ˜Œ

See you tomorrow! ๐Ÿ‘‹
itz_shu6h's tweet image. Hey!!

It's #day 88 of #100DaysOfDataScience ! ๐Ÿ˜

Today, I dove deeper into ANN and worked on its implementation. I also completed a mini project using a simple RNN for text classification โœŒ๏ธ

That's all for today! ๐Ÿ˜Œ

See you tomorrow! ๐Ÿ‘‹
itz_shu6h's tweet image. Hey!!

It's #day 88 of #100DaysOfDataScience ! ๐Ÿ˜

Today, I dove deeper into ANN and worked on its implementation. I also completed a mini project using a simple RNN for text classification โœŒ๏ธ

That's all for today! ๐Ÿ˜Œ

See you tomorrow! ๐Ÿ‘‹
itz_shu6h's tweet image. Hey!!

It's #day 88 of #100DaysOfDataScience ! ๐Ÿ˜

Today, I dove deeper into ANN and worked on its implementation. I also completed a mini project using a simple RNN for text classification โœŒ๏ธ

That's all for today! ๐Ÿ˜Œ

See you tomorrow! ๐Ÿ‘‹

Hey!!๐Ÿ‘‹๐Ÿค— It's #Day 84 of #100DaysOfDataScience! ๐Ÿ˜ Today, I explored CNNs, learning about their similarities to the human brain, convolution, padding, pooling, flattening, and how ANN steps integrate into CNNs ๐ŸคŸ๐Ÿ˜‡ That's all for today!๐Ÿ‘‹โ˜บ๏ธ

itz_shu6h's tweet image. Hey!!๐Ÿ‘‹๐Ÿค—

It's #Day 84 of #100DaysOfDataScience! ๐Ÿ˜

Today, I explored CNNs, learning about their similarities to the human brain, convolution, padding, pooling, flattening, and how ANN steps integrate into CNNs ๐ŸคŸ๐Ÿ˜‡

That's all for today!๐Ÿ‘‹โ˜บ๏ธ
itz_shu6h's tweet image. Hey!!๐Ÿ‘‹๐Ÿค—

It's #Day 84 of #100DaysOfDataScience! ๐Ÿ˜

Today, I explored CNNs, learning about their similarities to the human brain, convolution, padding, pooling, flattening, and how ANN steps integrate into CNNs ๐ŸคŸ๐Ÿ˜‡

That's all for today!๐Ÿ‘‹โ˜บ๏ธ
itz_shu6h's tweet image. Hey!!๐Ÿ‘‹๐Ÿค—

It's #Day 84 of #100DaysOfDataScience! ๐Ÿ˜

Today, I explored CNNs, learning about their similarities to the human brain, convolution, padding, pooling, flattening, and how ANN steps integrate into CNNs ๐ŸคŸ๐Ÿ˜‡

That's all for today!๐Ÿ‘‹โ˜บ๏ธ
itz_shu6h's tweet image. Hey!!๐Ÿ‘‹๐Ÿค—

It's #Day 84 of #100DaysOfDataScience! ๐Ÿ˜

Today, I explored CNNs, learning about their similarities to the human brain, convolution, padding, pooling, flattening, and how ANN steps integrate into CNNs ๐ŸคŸ๐Ÿ˜‡

That's all for today!๐Ÿ‘‹โ˜บ๏ธ

Day-2: 100 Days Of Data Science Topics Covered Today: => ALL => ANY => BETWEEN => IN => LIKE => MAX, MIN, AVG, SUM, and COUNT #100daysofdatascience #100daysofcode #mysql #SQL

TheAbbasAli_'s tweet image. Day-2: 100 Days Of Data Science

Topics Covered Today:

=> ALL
=> ANY
=> BETWEEN
=> IN
=> LIKE
=> MAX, MIN, AVG, SUM, and COUNT

#100daysofdatascience #100daysofcode #mysql #SQL
TheAbbasAli_'s tweet image. Day-2: 100 Days Of Data Science

Topics Covered Today:

=> ALL
=> ANY
=> BETWEEN
=> IN
=> LIKE
=> MAX, MIN, AVG, SUM, and COUNT

#100daysofdatascience #100daysofcode #mysql #SQL
TheAbbasAli_'s tweet image. Day-2: 100 Days Of Data Science

Topics Covered Today:

=> ALL
=> ANY
=> BETWEEN
=> IN
=> LIKE
=> MAX, MIN, AVG, SUM, and COUNT

#100daysofdatascience #100daysofcode #mysql #SQL

๐Ÿš€Day 68 of #100DaysOfDataScience learning: Decision Trees: - What they are - How to split - Math behind it - Info Gain & Gini for best split - Pros & Cons #AI #DataScience #MachineLearning #connect

Akshay12_03's tweet image. ๐Ÿš€Day 68 of #100DaysOfDataScience learning: Decision Trees:
- What they are
- How to split
- Math behind it
- Info Gain & Gini for best split
- Pros & Cons
#AI #DataScience #MachineLearning #connect
Akshay12_03's tweet image. ๐Ÿš€Day 68 of #100DaysOfDataScience learning: Decision Trees:
- What they are
- How to split
- Math behind it
- Info Gain & Gini for best split
- Pros & Cons
#AI #DataScience #MachineLearning #connect

-did some basic readings today nothing much - solved array problem - trying to get regular on leetcode :( -deep knowledge is the goal #100DaysOfAI -learnt model , inference , predictions #100DaysofDataScience -understood culture & expectations of a data scientist

DeeptiMisr's tweet image. -did some basic readings today nothing much 
- solved array problem 
- trying to get regular on leetcode :(
-deep knowledge is the goal 
#100DaysOfAI 
-learnt model , inference , predictions 
#100DaysofDataScience 
-understood culture & expectations of a data scientist

Hey everyone! It's Day 91 of #100DaysOfDataScience! Today, I covered ,bi-directional RNNs also implemented various RNN variants and word embeddings. Additionally, I gained understanding of the encoder-decoder architecture, the attention mechanism. That's all for today! ๐Ÿ˜Š

itz_shu6h's tweet image. Hey everyone!

It's Day 91 of #100DaysOfDataScience!

Today, I covered ,bi-directional RNNs also implemented various RNN variants and word embeddings. Additionally, I gained understanding of the encoder-decoder architecture, the attention mechanism.

That's all for today! ๐Ÿ˜Š
itz_shu6h's tweet image. Hey everyone!

It's Day 91 of #100DaysOfDataScience!

Today, I covered ,bi-directional RNNs also implemented various RNN variants and word embeddings. Additionally, I gained understanding of the encoder-decoder architecture, the attention mechanism.

That's all for today! ๐Ÿ˜Š
itz_shu6h's tweet image. Hey everyone!

It's Day 91 of #100DaysOfDataScience!

Today, I covered ,bi-directional RNNs also implemented various RNN variants and word embeddings. Additionally, I gained understanding of the encoder-decoder architecture, the attention mechanism.

That's all for today! ๐Ÿ˜Š
itz_shu6h's tweet image. Hey everyone!

It's Day 91 of #100DaysOfDataScience!

Today, I covered ,bi-directional RNNs also implemented various RNN variants and word embeddings. Additionally, I gained understanding of the encoder-decoder architecture, the attention mechanism.

That's all for today! ๐Ÿ˜Š

๐Ÿš€Day 64 of #100DaysOfDataScience - Learned about evaluation metrics for regression and applied them to the Boston Housing dataset - Key metrics: MAE, MSE, RMSE, Rยฒ #MachineLearning #AI #DataScience #connect

Akshay12_03's tweet image. ๐Ÿš€Day 64 of #100DaysOfDataScience
 - Learned about evaluation metrics for regression and applied them to the Boston Housing dataset
 - Key metrics: MAE, MSE, RMSE, Rยฒ
#MachineLearning #AI #DataScience #connect

Day-9: 100 Days Of Data Science Below are the topics I covered Today. => Lambda Function => List Comprehension => Random Module #100DaysOfDataScience #100DaysOfCode

TheAbbasAli_'s tweet image. Day-9: 100 Days Of Data Science

Below are the topics I covered Today.

=> Lambda Function
=> List Comprehension
=> Random Module

#100DaysOfDataScience #100DaysOfCode

Day-6: 100 Days Of Data Science Got started with Python. Topics Covered Today. => Hello World! => Variables and Datatypes => Operators => List, Tuple, Set, and Dictionary => String Manipulation => If, elif, else, while, for, etc => Functions #100DaysOfDataScience #100DaysOfCode

TheAbbasAli_'s tweet image. Day-6: 100 Days Of Data Science

Got started with Python.

Topics Covered Today.
=> Hello World!
=> Variables and Datatypes
=> Operators
=> List, Tuple, Set, and Dictionary
=> String Manipulation
=> If, elif, else, while, for, etc
=> Functions
#100DaysOfDataScience #100DaysOfCode

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