Practical Data Analysis and Visualization with Python
Data Analytics, Visualization and Data Science for Everyone. Build Machine Learning Models to Solve Day-to-Day Problems
4.18 (55 reviews)
302
students
4.5 hours
content
Mar 2018
last update
$19.99
regular price
What you will learn
Understand the logic behind machine learning models without strain
Build forecasting models with machine learning
Analyze customer satisfaction
Analyze bank statements
Classify images
Learn how to preprocess data
Develop classification models
Build Fraud Detection models
Logistic Regression models
k-nearest neighbor models
Random Forest Models
Support Vector Machines
Learn NumPy package
Learn Pandas package
Learn Scikit-learn
Filter and Slice datasets
Visualize data with Matplotlib
Visualize data with Seaborn
Get comfortable creating Pie charts, Donut charts, Bar charts, Line charts, Scatter plots and more
Read data from Google Sheets
Splitting data into training and test sets
Classify objects with Naive Bayes
Develop supervised learning models
Linear Regression models
1389252
udemy ID
10/10/2017
course created date
10/31/2020
course indexed date
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