Web Scraping Masterclass | Selenium + BeautifulSoup | Meesho Complete Web Scraping | Full Project

Deep Learning Project | Build AI Book Summarizer | RNN + LSTM + NLP Project | By Ankit Mishra

Build NLP AI App 🤯 RNN + IMDb Sentiment Analysis + Streamlit Deployment (Complete Project)| Day 21

Excel Data Mastery 🚀 | Data Validation, Conditional Formatting, Sort & Filter + Advanced Tricks

RNN Made EASY 🤯 NLP + Tokenization + Word Embedding | Day 20

Build & Deploy AI Model 🤯 Flower Classifier using CNN + Streamlit Deployment (Full Guide) | Day 19

Build Image Classifier 🤯 CNN + CIFAR-10 - Image Classification Project Data Augmentation | Day 18

Deep Learning Practical 🤯 ANN + Real Project | Customer Churn Prediction + CNN Intro | Day 17

Paste Special और Go to Special | Excel Interview Questions हिंदी में | By Ankit Mishra

Build Your First ANN 🤯 Deep Learning Coding Tutorial | Day 16 | Ankit Mishra

Deep Learning Made EASY 🤯 Neural Networks Explained | Day 15 | Introduction to Deep learning 2026

Build Your First ML Web App 🔥 Streamlit + Pickle Explained | Day 14

K-Means Full Implementation 🔥 Elbow + Silhouette Score Explained | ML Day 13

Unsupervised Learning Made EASY 🤯 K-Means, DBSCAN, Hierarchical | Day 12

Stop Guessing Models ❌ Find BEST Model using Multi-Model Approach | Day 11

Machine Learning Day 10 | L1, L2, Elastic Net + Boosting Algorithms | Overfitting vs Underfitting

Turn Any Dataset into AI Insights 🤖 | Auto EDA + Chat with Data Project | By Ankit Mishra

Excel Lookup & Reference Functions Complete Tutorial 🔥 | XLOOKUP, INDEX MATCH, FILTER, OFFSET | 20+

Ensemble Learning Made EASY 🤯 Bagging vs Boosting + Random Forest | Day 9

Machine Learning Day 8 🚀 Decision Tree + Feature Engineering + Visualization

Excel Date & Time Functions Complete Tutorial 🔥 | 20+ Functions Explained with Real Examples

How Decision Trees Really Work 🔥 Gini Index Deep Dive | ML Course Day 7

Spam Detection using ML 🤯 Naive Bayes + NLP Explained | Day 6

Machine Learning Day 5 🔥 Multiclass Classification + Iris Dataset (Full Tutorial)

Confusion Matrix Deep Dive 🤯 Precision, Recall, F1 Score Explained | ML Day 4

Machine Learning Day 3 🔥 Logistic Regression Implementation + Confusion Matrix Explained

Logistic Regression FULL Explained 🤯 ML Course Day 2 | Binary Classification

Numpy Full Tutorial For Beginners | Numpy Full Course-(2026) in 8 Hours | By Ankit Mishra

Machine Learning Full Course Day 1 🔥 Linear Regression Explained with Python | Beginner to Advanced

Master Excel Text Functions Masterclass | CONCAT, LEFT, MID, TRIM, CLEAN, TEXTJOIN | Data Analyst

Power BI vs AWS QuickSight Dashboard | Day 22: Build Business Analytics Reports

AWS QuickSight Project Setup | Day 21: Fix IAM & S3 Access Errors

AWS CLI Complete Tutorial | Day 20: Manage S3, EC2, IAM & Billing using Command Line

AWS SNS Notification System | Day 19: Send Email & SMS using Lambda + SNS

AWS Lambda Email Automation Project | Day 18: S3 File Upload → Email Notification

AWS SES Tutorial | Day 17: Send Emails Using Lambda + Free Tier Explained

AWS Neptune Graph Database Tutorial | Day 16: Graph Databases Explained + Gremlin Queries

AWS Tutorial for Data Analysts | Day 15: AWS Kinesis, S3 & CloudWatch Debugging

AWS Tutorial for Data Analysts | Day 14: Kinesis + Lambda Real-Time Data Processing

AWS Tutorial for Data Analysts | Day 13: AWS CLI + Kinesis Real-Time Data Streaming

AWS Tutorial for Data Analysts | Day 12: AWS Redshift Data Warehouse + ETL Pipeline

AWS Tutorial for Data Analysts | Day 11: AWS Athena Serverless SQL + Glue Crawler

AWS Tutorial for Data Analysts | Day 10: Amazon QuickSight Dashboard & Visualization

AWS Tutorial for Data Analysts | Day 9: CSV Data Pipeline (S3 → Lambda → DynamoDB)

AWS Tutorial for Data Analysts | Day 8: Serverless ETL Pipeline (S3 → Lambda → DynamoDB)

Feature Engineering & Feature Scaling Explained | Statistics for Data Analysts | Day 4

Python Web Scraping Master Project | Naukri Scraper Part 2 | Python Web Scraping Part 2 | Day Final

Python Selenium Project: Scrape Naukri Jobs Automatically | WebScraping Project Part 1 | Day 42

AWS Tutorial for Data Analysts | Day 7: AWS Lambda Serverless + S3 & DynamoDB Automation

How to Scrape Websites Using Python Selenium | Complete Guide | Day 41

Statistics Full Coursefor Data Analysts | Normal Distribution & Outlier Removal Explained | Day 3

Python Magic Methods Masterclass | super() + add Explained | Day 40

Python Abstraction Explained | Method Overloading vs Overriding | OOP Day 39

Python Polymorphism Explained | Method Overriding & Inheritance | Day 38

AWS Tutorial for Data Analysts | Day 6: DynamoDB Automation with Python Class + AWS CLI

Python Inheritance Masterclass | Simple, Multilevel & Multiple Explained

Statistics Full Course for Beginners | Variables, Sampling & Distribution | Day 2

Python OOP Pillars Finally Explained | Encapsulation Deep Dive

Statistics for Data Science Beginners | Descriptive vs Inferential Statistics | Day 1

Python OOP in Action | Car Simulator with Pygame Sound