IIT Kanpur Certificate Program on PYTHON for Artificial Intelligence Machine Learning and Deep Learning

Introduction

Welcome to my collection of hands-on programming practices and projects, created during the IIT Kanpur Certification Program on Python for Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). This repository serves as a personal archive of everything I've learned and built during this intensive 4-week program.

The program focused on practical applications of Python in AI, ML, and DL, using real-world datasets from various domains such as business, medicine, science, and engineering. It introduced me to powerful Python libraries and tools, including:

• NumPy
• linalg
• Matplotlib
• Pandas
• Scikit-learn
• TensorFlow
• Keras

Why This Repository?

This repository is a way for me to document and share my learning journey. It's packed with code snippets, projects, and solutions that I worked on throughout the program. My goal is to keep these resources organized and accessible for future reference and to help others who might find them useful.

Collection of all handson projects commited under this repo.

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Week 1

• Project 1: Regression Analysis with the IRIS Dataset
• Project 2: Boston Housing Price Analysis
• Project 3: Logistic Regression with Purchase/Shopping Data

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Week 2

• Project 4: SVC on IRIS Dataset
• Project 5: Breast Cancer Dataset Analysis using SVC
• Project 6: Naïve Bayes Clustering of Purchase Data
• Project 7: Discriminant Analysis with IRIS Dataset
• Project 8: K-Means Clustering Implementation

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Week 3

• Project 9: Decision Tree Classifier for IRIS Dataset
• Project 10: Decision Tree Classifier for Purchase Data
• Project 11: Neural Networks for Boston Housing Dataset
• Project 12: CNN on Mobile Prices Dataset

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Week 4

• Distinguished Guest Lecture I:
  Dr. Soumyadeep Dey, Sr. Applied Scientist at Microsoft, India

• Project 13: Deep Learning for Fashion MNIST Dataset

• Project 14: Deep Learning for Digit Classification with MNIST Dataset

• Project 15: Deep Learning on CIFAR-10 Dataset

• Distinguished Guest Lecture II:
  Dr. Dheeraj Nagaraj, Research Scientist, Google

• Project 16: Movie Rating Classification with IMDb Dataset

Takeaway

This program has provided me with an in-depth understanding of Python programming and hands-on experience with AI, ML, and DL techniques. The diverse projects enhanced my practical skills, while the distinguished guest lectures by industry experts like Dr. Soumyadeep Dey (Microsoft) and Dr. Dheeraj Nagaraj (Google) offered valuable insights into real-world applications and advancements in cutting-edge technologies. This experience has equipped me for future challenges and opportunities in the field.