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This repository contains my solution to the Week 1 assignment for the Summer Analytics 2025 program conducted by IIT Guwahati. It includes basic data analysis using Python, NumPy, and Pandas on the Cars dataset.

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Summer Analytics 2025 – IIT Guwahati

Welcome to my submission repository for Summer Analytics 2025, an online data science certification program organized by Consulting and Analytics Club, IIT Guwahati.

This repository contains weekly assignments, practice notebooks, and learning notes as I go through the 5-week structured curriculum designed to simplify the learning journey in Data Science.


The course focuses on extracting meaningful insights from large datasets, introducing core concepts and the latest industry tools through Python, Machine Learning, Data Cleaning, and Data Analysis.


πŸ“š Weekly Curriculum

Week 1: Introduction to Python and Python Libraries

  • Basics of Python
  • NumPy
  • Pandas
  • Data Analysis and Visualization

Week 2: Machine Learning Algorithms

  • Handling Missing Values
  • Types of Machine Learning
  • Linear & Logistic Regression
  • Cost Function and Gradient Ascent

Week 3: Model Tuning

  • Generalisation
  • Overfitting and Underfitting
  • Support Vector Machines
  • Confusion Matrix & Evaluation Metrics

Week 4: Tree-Based Algorithms

  • Decision Trees & Gradient Boosting
  • Feature Engineering
  • Hyperparameter Tuning

Week 5: Neural Networks

  • Introduction to Deep Learning
  • Unsupervised Learning
  • K-Means Clustering
  • Dimensionality Reduction

πŸ’¬ Additional Activities

  • Webinars by industry experts
  • Weekly AMA Sessions
  • Hackathons
  • Community Discussions

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This repository contains my solution to the Week 1 assignment for the Summer Analytics 2025 program conducted by IIT Guwahati. It includes basic data analysis using Python, NumPy, and Pandas on the Cars dataset.

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