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Revisited File Handling in Python today ๐ Learned how to read, write, and append data safely using with open() Even built a small error logger program ๐ป #Python #100DaysOfDataScience #LearningInPublic
#Day90 of #100DaysOfDataScience ๐น ๐จ๐ป๐๐๐ฝ๐ฒ๐ฟ๐๐ถ๐๐ฒ๐ฑ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด = "๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐๐ถ๐๐ต๐ผ๐๐ ๐๐ป๐๐๐ฒ๐ฟ๐" Clustering | Dim. Reduction ๐งฉ 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
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
Hey everyone! ๐๐ค It's #Day9 of #100DaysOfDataScience ๐ Today was highly productive!๐ I revised Python libraries pandas, numpy, matplotlib, and seaborn then studied statistics for data science ๐ also created a project that converts images to sketches using Python๐ SYT๐
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! ๐
Hey!! It's #day 88 of #100DaysOfDataScience ! ๐ Today, I dove deeper into ANN and worked on its implementation. I also completed a mini project using a simple RNN for text classification โ๏ธ That's all for today! ๐ See you tomorrow! ๐
Hey!!๐๐ค It's #Day 84 of #100DaysOfDataScience! ๐ Today, I explored CNNs, learning about their similarities to the human brain, convolution, padding, pooling, flattening, and how ANN steps integrate into CNNs ๐ค๐ That's all for today!๐โบ๏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
Hey!!โบ๏ธ It's #Day 86 of #100DaysOfDataScience! ๐ Today, I delved deeper into the implementation of ANN and started learning RNNs. I got a brief introduction to their architecture and functionality ๐ That's all for today!๐ค
Hey! Itโs 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. Thatโs all for today!
๐๐ On Day 4 of my #100DaysOfDataScience challenge, I delved into the fascinating world of Regression Analysis. ๐ 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
Hey!! It's Day 89 of #100DaysOfDataScience! ๐ Today, I studied LSTM RNNโits 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 intuition๐ค That's all for today!โ๏ธ
day4: sourcing data from public domain #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-cโฆ
๐ Day 37 of #100DaysOfDataScience Dived into Hierarchical Clustering ๐ณ โ Builds dendrograms to show data similarity ๐น Types: Agglomerative & Divisive ๐ Linkage methods shape clusters โก Great for small datasets & relationship insights #MachineLearning #DataScience #Python
Revisited File Handling in Python today ๐ Learned how to read, write, and append data safely using with open() Even built a small error logger program ๐ป #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
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 Andโฆ 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
Its been 3 days, I started my grind to get an internship in Field of Data Science ๐ป My goal: l and a job in a year ๐จโ๐ป Iโll be posting my daily progress, code snippets, and updates here stay tuned! ๐ #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 Couldnโt do much today โ Diwali safai took over ๐งน๐ (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 ๐ 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 ๐ป #100DaysOfDataScience #LearningInPublic #Python #CodeWithHarry #DataScience
Day 77 Explored Output Parsers in LangChain Covered: ๐น String Output Parser ๐น JSON Output Parser ๐น Structured Output Parser ๐น Pydantic Output Parser Understanding how to control and structure LLM outputs efficiently #100DaysOfDataScience #LangChain #GenerativeAI #LLM
๐ Day 7 of #100DaysOfDataScience Built a mini project: Student Score Analyzer ๐ โ Took inputs using functions, loops, and dictionaries โ Calculated grades & printed a summary A solid wrap-up to Week 1! ๐ป #Python #DataScience #ML
Day 6 โ Data Science Journey ๐ 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 ๐ป #100DaysOfDataScience #LearningInPublic #Python #CodeWithHarry #DataScience
Revisited File Handling in Python today ๐ Learned how to read, write, and append data safely using with open() Even built a small error logger program ๐ป #Python #100DaysOfDataScience #LearningInPublic
#Day90 of #100DaysOfDataScience ๐น ๐จ๐ป๐๐๐ฝ๐ฒ๐ฟ๐๐ถ๐๐ฒ๐ฑ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด = "๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐๐ถ๐๐ต๐ผ๐๐ ๐๐ป๐๐๐ฒ๐ฟ๐" Clustering | Dim. Reduction ๐งฉ 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
Day-5: 100 Days Of Data Science Completed MySQLโ . 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
#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 ! ๐ Today, I dove deeper into ANN and worked on its implementation. I also completed a mini project using a simple RNN for text classification โ๏ธ That's all for today! ๐ See you tomorrow! ๐
Hey!!๐๐ค It's #Day 84 of #100DaysOfDataScience! ๐ Today, I explored CNNs, learning about their similarities to the human brain, convolution, padding, pooling, flattening, and how ANN steps integrate into CNNs ๐ค๐ That's all for today!๐โบ๏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
๐Day 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
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! ๐
๐Day 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
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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