Machine Learning & Data Science Course

Are you ready to break into the world of Machine Learning and Data Science? Whether you're a beginner or someone looking to sharpen your ML skills, this course provides a complete, practical, and beginner-friendly introduction to machine learning using Python and essential libraries.

Course Content:

1. Introduction

• Welcome
• What is AI, ML, DL, Neural Network
• How Machine Learn
• Supervised vs Unsupervised Learning
• Real World Applications of ML

2. Getting Ready

• Environment Setup
• Basics of Python
• Jupyter Notebook
• Google Colab
• Pandas Library
• Data Preprocessing
• Statistics
• Matplotlib
• Numpy
• Scikit-Learn

3. Concepts

• ML Lifecycle
• What is a Model
• Features & Targets
• Train & Test Split
• Feature Engineering
• Label Encoding
• Categorical Encoding
• One Hot Encoding
• Ordinal Encoding

4. Datasets

• What are datasets
• Some popular datasets
• Scikit-learn Dataset
• kaggle
• HuggingFace
• UCI Repository
• Data from Apis
• Web Scraping

5. Model Evaluation

• Hyperparameters
• Overfitting & Underfitting
• Accuracy
• Confusion Matrix
• Precision & Recall
• MSE

6. Supervised Learning

• Regression vs Classification
• Linear Regression Algo
• Model Save & Reload
• Model Training
• Gradient Descent
• Epochs
• Logistic Regression Algo
• KNN Algo
• Decision Tree
• Random Forest
• SVM
• Gradient Boosting

7. Unsupervised Learning

• Clustering vs Association
• K-Means Clustering
• DBSCAN
• PCA (Principal Component Analysis)
• t-SNE

8. Model Deployment

• Serialization
• Model Rest API
• Deployment

9. Projects

• Project 1
• Project 2

10. Interview Questions

• Disucssion on interview questions

 

🌟 Course Highlights

• 🎥 60+ video lessons and 2 hands-on projects included in the course

• 🚀 3 new videos uploaded every week to keep the content fresh and updated

• 📚 36 videos already available for instant access after enrollment

• 🗓️ Course completion by December 2025

• 💬 Exclusive Telegram group for enrolled students to discuss and connect

• ✅ No Maths required — simple and practical explanations

• 🧠 No prior knowledge of AI, ML, or Python needed — we start from zero

• 🎯 AI & ML interview preparation covered in the final module

• ☁️ No high-end machine needed — all coding done on the cloud

• 💻 Code snippets provided for every concept to make learning easier

• 🎥 Doubt-solving support — if needed, topics will be re-recorded with detailed explanations

• 🏆 Course completion certificate provided

• 📱 Learn anytime, anywhere with our mobile app

• ♾️ Lifetime access to all course content

• 🗣️ Course language: Hinglish (Hindi + English mix)

• 💰 Refund Policy: 90% refund within 3 days of purchase

 

Connect with me on my free telegram group for more guidance :  https://t.me/+QI-dh4JVrrllZGI1

 

Happy Learning !!

 

 

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