HarishbarathiS/MIC_AIML_FFCS_Resources

Introduction to ML:

• Machine Learning Landscape

ML algorithms:

Linear regression:

Concept:

• Linear regression - StatQuest
• Linear regression - Krish Naik
• Linear regression - Crash Course

Further Reading:

• Linear Regression for machine learning
• Resources to Learn Linear Regression

Project Ideas:

●      Car price estimator

●      IPL score predictor

●      Air quality index estimator

●      Electric vehicle range prediction

●      Open Innovation

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Logistic regression:

Concept:

• Logistic Regression - StatQuest
• Logistic regression - Krish Naik

Further Reading:

• Logistic Regression
• Logistic Regression - Detailed Overview

Project ideas:

●      Disease diagnosis

●      Student admission predictor

●      Election outcome prediction

●      Open Innovation

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K-means clustering and hierarchical clustering:

Concept:

• Unsupervised Machine Learning

• StatQuest: K-means clustering

• K Means Clustering Intuition

• StatQuest: Hierarchical Clustering

• Hierarchical Clustering intuition

Further Reading:

• Concept of Hierarchical Clustering
• Comprehensive Guide to K-means Clustering
• Understanding K-means Clustering in Machine Learning

Project ideas:

●      Customer Segmentation for E-commerce

●      Social network analysis

●      Open Innovation

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Decision Trees:

Concept:

• Decision and Classification Trees, Clearly Explained!!! - StatQuest
• Decision Tree Intuition
• Decision Tree Classification Clearly Explained!

Further Reading:

• Decision Tree Algorithm
• Decision Tree in Machine Learning

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Random forest:

Concept:

• StatQuest: Random Forests
• Random Forest Algorithm Clearly Explained!
• Random Forest Classifier and Regressor

Further Reading:

• Random Forest Simple Explanation
• Understanding Random Forest

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Neural Networks:

• DNN explained in plain English
• Neural Networks: Inside the Black Box - StatQuest
• Introduction to Neural Networks
• 3Blue1Brown - Visual understanding

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Courses:

• Machine Learning Introduction - Andrew Ng
• Machine Learning Introduction - Andrew Ng (on YouTube)
• Complete Machine Learning - Krish Naik
• Intro to Machine Learning - kaggle
• Intermediate Machine Learning - kaggle

Datasets:

• kaggle
• openml
• awesome-public-datasets
• Google Datasets

Deployment:

• streamlit.io
• huggingface.co

Books:

• Hands-On Machine Learning - Aurélien Géron

miscellaneous:

• Avoid paywalls on Medium and towardsdatascience
• End to End Project
• Visual Statistics