Machine Learning & Data Science Course

$90.12
$48.68
Description
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
π Course Highlights
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π₯ 60+ video lessons and 2 hands-on projects included in the course
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π 3 new videos uploaded every week to keep the content fresh and updated
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π 36 videos already available for instant access after enrollment
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ποΈ Course completion by December 2025
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π¬ Exclusive Telegram group for enrolled students to discuss and connect
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β No Maths required — simple and practical explanations
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π§ No prior knowledge of AI, ML, or Python needed — we start from zero
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π― AI & ML interview preparation covered in the final module
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βοΈ No high-end machine needed — all coding done on the cloud
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π» Code snippets provided for every concept to make learning easier
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π₯ Doubt-solving support — if needed, topics will be re-recorded with detailed explanations
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π Course completion certificate provided
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π± Learn anytime, anywhere with our mobile app
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βΎοΈ Lifetime access to all course content
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π£οΈ Course language: Hinglish (Hindi + English mix)
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π° 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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