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.

What Will I 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

Includes:

• 4.5 hours on-demand video
• 31 Supplemental Resources
• Full lifetime access
• Access on mobile and TV
• Certificate of Completion

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