Python for Data Science and Machine Learning Bootcamp

$0.99
Instructor:
Jose Portilla, Pierian Training
Category:

Are you ready to start your path to becoming a Data Scientist!

This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!

Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world’s most interesting problems!

 

What you’ll learn
  • Use Python for Data Science and Machine Learning
  • Use Spark for Big Data Analysis
  • Implement Machine Learning Algorithms
  • Learn to use NumPy for Numerical Data
  • Learn to use Pandas for Data Analysis
  • Learn to use Matplotlib for Python Plotting
  • Learn to use Seaborn for statistical plots
  • Use Plotly for interactive dynamic visualizations
  • Use SciKit-Learn for Machine Learning Tasks
  • K-Means Clustering
  • Logistic Regression
  • Linear Regression
  • Random Forest and Decision Trees
  • Natural Language Processing and Spam Filters
  • Neural Networks
  • Support Vector Machines
Course content
27

27 sections • 165 lectures • Total duration 24 h 54 min

Course Introduction
Environment Set-Up
Jupyter Overview
Python Crash Course
Python for Data Analysis - NumPy
Python for Data Analysis - Pandas
Python for Data Analysis - Pandas Exercises
Python for Data Visualization - Matplotlib
Python for Data Visualization - Seaborn
Python for Data Visualization - Pandas Built-in Data Visualization
Python for Data Visualization - Plotly and Cufflinks
Python for Data Visualization - Geographical Plotting
Data Capstone Project
Introduction to Machine Learning
Linear Regression
Cross Validation and Bias-Variance Trade-Off
Logistic Regression
K Nearest Neighbors
Decision Trees and Random Forests
Support Vector Machines
K Means Clustering
Principal Component Analysis
Recommender Systems
Natural Language Processing
Neural Nets and Deep Learning
Big Data and Spark with Python
BONUS SECTION: THANK YOU!