Python For Data Science And Machine Learning - COMPLETE

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Learn the main methods of Machine Learning, Data Science and Python in this COMPLETE course!

What you'll learn
  • Using Python for Data Science and Machine Learning
  • Professional data visualization with Matplotlib
  • Learn about intuitive data visualization with Plotly
  • Learn how to use Seaborn for statistical data analysis.
  • Using Pandas for Data Analysis
  • Using Numpy for Vector and Matrix Operations
  • Logistic Regression
  • K-Nearest-Neighbors (KNNs)
  • K-means-clustering
  • Support-Vector-Machines (SVM)
  • Neural-Networks
  • Using Spark for Big Data
  • Natural language processing and spam filtering systems
  • Recommendation systems (used on NetFlix, Spotify, etc)…
  • Projects with real data
  • Spark and AWS
  • Programming Basics
  • Basic English (because main Python datasets used and methods are in English)
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 full power of Python to analyze data, create great visualizations, and use powerful Machine Learning algorithms!
It was designed in full partnership with Jose Portilla , one of Udemy's most experienced tutors, with over 300,000 students from around the world.

Data scientist has been ranked number 1 job at Glassdoor and the average salary of a data scientist is over $ 120,000 in the United States! Data Science is a rewarding career that allows you to solve some of the most interesting problems in the world! In addition, many companies in Brazil are already starting to expand their data analytics areas.
This course is designed for beginners with some programming experience or experienced developers looking to take a leap into data science!

This comprehensive course is comparable to other Data Science and Machine Learning courses that in some cases typically cost thousands of dollars, but now you can access this information for a fraction of the cost! With over 100 HD video lessons and detailed code notebooks for each lecture , this is one of the most comprehensive data science and machine learning courses at Udemy!
Here, just some of the topics we will be learning:
Programming with Python
NumPy with Python
Using Panda DataFrames to Solve Complex Tasks
Use pandas to handle Excel files
Obtaining Data on the Web with Python
Use Matplotlib and Seaborn for Data
Visualizations Use Plotly for Interactive Visualizations
Machine Learning with SciKit Learn, including:

  • Linear regression
  • K nearest neighbors
  • K Means Clustering
  • Decision trees
  • Random Forests
  • Natural Language Processing
  • Support Machines Vector
  • Recommendation system algorithms (NetFlix, Youtube, Amazon, Spotify)
  • and much, much more!
Enroll in the course and become a data scientist today!
What are the requirements?
  • Some programming experience
  • Administrator permission to download files

What will I be able to do after this course?
  • Use Python for Data Science and Machine Learning
  • Implement Machine Learning Algorithms
  • Learn to use NumPy for numeric data
  • Learn How to Use Pandas for Data Analysis
  • Learn to use Matplotlib for Python Plotting
  • Learn to use Seaborn for statistical visualization.
  • Use Plotly for interactive dynamic visualizations
  • Use SciKit-Learn to Use Major Machine Learning Classes
  • K-Means Clustering
  • Support Vector Machines (SVMs)
  • Logistic Regression
  • Linear regression
  • Random Forest and Decision Trees
  • Natural language processing and spam filters
  • Use Spark for Big Data Analysis
Who is this course for:
  • This audience is intended for those who want to learn more about Machine Learning and the main data analysis programming language: Python.
Created by Rodrigo Soares Tadewald, Pierian Data International by Jose Portilla
Last updated 3/2019
Portuguese [Auto-generated]
Size: 2.78 GB
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