Machine-Learning

This repo consists of Jupyter notebooks which were practiced as a part of course taken on Udemy

These simple projects helped me in understanding the fundamental concepts in ML

Course Instructor : Jose Portila

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
01-Python-Crash-Course		01-Python-Crash-Course
02-Python-for-Data-Analysis-NumPy		02-Python-for-Data-Analysis-NumPy
03-Python-for-Data-Analysis-Pandas		03-Python-for-Data-Analysis-Pandas
04-Pandas-Exercises		04-Pandas-Exercises
05-Data-Visualization-with-Matplotlib		05-Data-Visualization-with-Matplotlib
06-Data-Visualization-with-Seaborn		06-Data-Visualization-with-Seaborn
07-Pandas-Built-in-Data-Viz		07-Pandas-Built-in-Data-Viz
08-Plotly-and-Cufflinks		08-Plotly-and-Cufflinks
09-Geographical-Plotting		09-Geographical-Plotting
10-Data-Capstone-Projects		10-Data-Capstone-Projects
11-Linear-Regression		11-Linear-Regression
13-Logistic-Regression		13-Logistic-Regression
14-K-Nearest-Neighbors		14-K-Nearest-Neighbors
15-Decision-Trees-and-Random-Forests		15-Decision-Trees-and-Random-Forests
16-Support-Vector-Machines		16-Support-Vector-Machines
17-K-Means-Clustering		17-K-Means-Clustering
18-Principal-Component-Analysis		18-Principal-Component-Analysis
19-Recommender-Systems		19-Recommender-Systems
20-Natural-Language-Processing		20-Natural-Language-Processing
21-Big-Data-and-Spark		21-Big-Data-and-Spark
README.md		README.md

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