📚 Machine Learning Bootcamp Course Materials

Become a Data Scientist!

A Beginner Friendly ML Course Designed by us at Hermes AI Center for Everyone With No Prior Knowledge in Computer Science Concepts.

This course covers various materials such as:

# Lectures	# Topic
Lecture 1	Introduction to Python
Lecture 2	Numpy & Pandas
Lecture 3	EDA Visualization
Lecture 4	Regression Analysis
Lecture 5	Hyperparameter Optimization
Lecture 6	Decision Trees & Random Forest
Lecture 7	SVM & KNN
Lecture 8	Principal Component Analysis
Lecture 9	Unsupersived Learning
Lecture 10	Introduction to Perceptron

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
02_Numpy_Pandas_notebook.ipynb		02_Numpy_Pandas_notebook.ipynb
03_EDA_Visualization.ipynb		03_EDA_Visualization.ipynb
04_Regression.ipynb		04_Regression.ipynb
05_hyperparameter_optimization.ipynb		05_hyperparameter_optimization.ipynb
06_DecisionTree_RandomForest.ipynb		06_DecisionTree_RandomForest.ipynb
07-SVM-KNN.ipynb		07-SVM-KNN.ipynb
08_Principal_Component_Analysis.ipynb		08_Principal_Component_Analysis.ipynb
09-Unsupervised-Learning.ipynb		09-Unsupervised-Learning.ipynb
10_Introduction_to_perceptron.ipynb		10_Introduction_to_perceptron.ipynb
README.md		README.md
hermes.jpg		hermes.jpg

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