deepak singla

Web Scraping with APIs | Python Hands-On Guide for Beginners

GATE Exam 2026 | Importance of GATE for Engineering Students | Career Opportunities & Benefits

Web Scraping with Python | BeautifulSoup & Requests Made Easy

Web Scraping with Python: Requests & BeautifulSoup Explained Step-by-Step

Streamlit Made Easy | From Python Script to Web App

Naïve Bayes Classifier Explained | Intuition, Math & Implementation

Mastering SVM & SVR in Machine Learning | Theory, Math, and Python Implementation

Logistic Regression Explained | Machine Learning for Beginners with Examples

Linear Regression Explained with Example | Machine Learning Tutorial for Beginners

Naïve Bayes Algorithm Explained with Example | Machine Learning Tutorial

Support Vector Machine (SVM) Explained with Examples | Machine Learning Lecture

Introduction to Machine Learning | Basics, Types & Real-World Applications

Multiclass Logistic Regression Explained | Classification Metrics Made Easy

ML Project Deployment Made Easy: Streamlit, Render & Hugging Face Spaces

Feature Engineering in Machine Learning: Missing Values, Outliers, Scaling & Encoding Explained

Feature Engineering Part 1: Handling Missing Values in Machine Learning

Logistic Regression Explained Simply | Binary Classification with Real-Life Examples

Git & GitHub Explained in Simple Terms 🔧 | Master Version Control in 1 Hour!

Gradient Descent in Linear Regression | Simplified Explanation with Examples

Data Visualization in Python Using Seaborn | Complete Beginner to Pro Tutorial

Linear Regression Explained with Real-Life Examples | ML for Beginners

Build Interactive Web Apps in Python with Streamlit

EDA on Smartphone Dataset: Discover Hidden Insights with Python & Pandas!

Master Matplotlib in Python: Data Visualization for Beginners

Top Pandas Functions Every Data Analyst Must Know

Discovering Insights with EDA: A Hands-On Approach Using Smartphone Data

Pandas Functions You Must Know for Data Analysis | Beginner to Pro

EDA in Action: Master Outliers, Scaling & Encoding with Real Data!"

Pandas in Python: Master Data Analysis in Just 15 Minutes