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Day 96 Missed posting yesterday after a tiring walk-in drive. Revisited LangChain + RAG basics and built a PDF-chat RAG app for an interview task — and the interview went really well! 🚀 #100DaysOfDataScience #LangChain #RAG

Day 8 — Started learning OOP in Python today.Covered the basics like classes and objects, how constructors work. Feels good to finally understand how real-world things can be mapped into code 🙂#100DaysOfDataScience #Python #LearningInPublic

Day 95 Stats day! Brushed up some core concepts - Z-Score, Covariance & Correlation - Kurtosis & Log-Normal Distribution - Bernoulli & Binomial Distributions - Central Limit Theorem #100DaysOfDataScience #Statistics #DataAnalytics

Day 94 Explored Feature Selection Techniques — knowing what not to use is just as important as what to use - Filter Methods - Wrapper Methods - Embedded Methods Also practiced some SQL to stay sharp! #100DaysOfDataScience #MachineLearning #FeatureSelection #SQL

Day 93 Focused on data preprocessing — the foundation of every solid model: - Discretization (Binning) & Binarization - Handling Missing Values with multiple techniques - Detected & Treated Outliers #100DaysOfDataScience #DataPreprocessing #MachineLearning"

Day 92 Deep dived into Feature Engineering today — 🔹 Scaling, Standardization & Normalization 🔹 Encoding categorical data & One-Hot Encoding 🔹 Used Column Transformers for smooth preprocessing #100DaysOfDataScience #MachineLearning #FeatureEngineering

Revisited File Handling in Python today 📂 Learned how to read, write, and append data safely using with open() Even built a small error logger program 💻 #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 And… 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 💻 My goal: l and a job in a year 👨‍💻 I’ll be posting my daily progress, code snippets, and updates here stay tuned! 🚀 #100daysofdatascience #learning #Showingupdaily

Day 8 — Started learning OOP in Python today.Covered the basics like classes and objects, how constructors work. Feels good to finally understand how real-world things can be mapped into code 🙂#100DaysOfDataScience #Python #LearningInPublic

Days_16 of #100DaysOfDataScience #100DaysOfCode

Day 6 — Data Science Journey 🚀 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 💻 #100DaysOfDataScience #LearningInPublic #Python #CodeWithHarry #DataScience

Days_8 #100DaysOfCode #100DaysOfDataScience #DataCamp #DataScience @DataCamp #R

DAY 2 #100Daysofdatascience

#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

Hey!! It's #day 88 of #100DaysOfDataScience ! 😁 Today, I dove deeper into ANN and worked on its implementation. I also completed a mini project using a simple RNN for text classification ✌️ That's all for today! 😌 See you tomorrow! 👋

Hey!!👋🤗 It's #Day 84 of #100DaysOfDataScience! 😁 Today, I explored CNNs, learning about their similarities to the human brain, convolution, padding, pooling, flattening, and how ANN steps integrate into CNNs 🤟😇 That's all for today!👋☺️

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

📌 #Day84 of #100DaysOfDataScience Topic: Skewness + Variance + Coefficient of Variation + LeetCode ✨ LeetCode 746: Min Cost Climbing Stairs 𝗚𝗼𝗮𝗹: Reach the top of a staircase with minimum total cost. #Python #Statistics #LeetCode #DataScience

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! 😊

#Day90 of #100DaysOfDataScience 🔹 𝗨𝗻𝘀𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 = "𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗔𝗻𝘀𝘄𝗲𝗿𝘀" Clustering | Dim. Reduction 🧩 LC 1005 – Maximize Sum After K Negations #MachineLearning #DataScience #AI #ML #LeetCode

-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

🚀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

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! It’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. That’s all for today!

🚀Day 64 of #100DaysOfDataScience - Learned about evaluation metrics for regression and applied them to the Boston Housing dataset - Key metrics: MAE, MSE, RMSE, R² #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

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