Python_DS_ML_Bootcamp

My Jupyter notebook solutions for exercises in the course "Python for Data Science and Machine Learning Bootcamp" by Pierian Data

Course contents

Python for Data Analysis

• Numpy
• Pandas

Python for Data Visualization

• Matplotlib
• Seaborn
• Pandas Built-in Data Visualization
• Plotly
• Cufflinks
• Geographical Plotting

Machine Learning Sections

• Linear Regression
• Cross Validation and Bias-Variance
• Logistic Regression
• K Nearest Neighbors
• Decision Trees and Random Forests
• SUpport Vector Machines
• K-Means Clustering
• Principal Component Analysis
• Recommender Systems
• Natural Language Processing

Big Data and Spark with Python

• AWS EC2 Setup
• SSH
• PySpark Setup
• RDD Transformations and Actions

Neural Nets and Deep Learning

• Introduction to TensorFlow
• MNIST with Multi-layer Perceptron
• TensorFlow with ContribLearn