This is a course work repository. All material in this repository is subjected to summer analytics club, IIT Guhawati.
Course Link : summer_analytics
In this 6 wweek bootcamp, I have implemented classification & regression combinly on data.
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Week 1 : Intro To Python & Python Libraries
- Which includes - Basics of Python - Numpy and Pandas - Data Analysis & Visualisations in Python
Week 1 : assignment
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Week 2: ML Algorithms
- Handling Missing Values - Types of Machine Learning - Linear Regression - Logistic Regression - Cost Function & Gradient Descent
week 2 : assignment
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Week 3 :Model Tuning
- Generalization - Overfittiing & Underfitting - Support Vector Machines - The Confusion Matrix - Evaluation Metrics
week 3 : assignment
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Week 4 : Tree-Based Algorithms
- Tree based models - Gradient Boosting - Feature Selection & Engineering - Hyperparamter Tuning
week 4: assignment
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Week 5 : Neural Networks
- Introduction to Deep Learning - Unsupervised Learning - Dimensionality Reduction - K-Means Clustering
week 5 : assignment
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Week 6 : Hackathon
- Hackathon Based project - secured rank in 20% of active candidate rank & 3% of registered candidate - Buffer period - Developed a ad revenue based project.
week 6: project