Machine Learning & Artificial Intelligence Certification Bundle

What’s included in each course:

Pre-Process & Visualize Data with Tidy Techniques in R

• Read-in data into the R environment from different sources
• Learn how to use some of the most important R data wrangling & visualization packages such as Dpylr and Ggplot2
• Carry out basic data pre-processing & wrangling in R studio
• Gain proficiency in data pre-processing, wrangling & data visualization in R

Practical Data Pre-Processing & Visualization Training with Python

• Access 49 lectures & 5 hours of content 24/7
• Understand the most fundamental building blocks of practical data science
• Be equipped w/ some of the most important Python data wrangling & visualization packages
• Implement different techniques on real-life data
• Learn a new concept or technique after each video

Working with Classes: Classify & Cluster Data With Python

• Access 46 lectures & 4 hours of content 24/7
• Harness the power of Anaconda/iPython for practical data science
• Carry out basic data pre-processing & wrangling in Python
• Implement dimensional reduction techniques (PCA) & feature selection
• Explore neural network & deep learning-based classification

Statistics & Machine Learning Techniques for Regression Analysis with Python

• Access 50 lectures & 6 hours of content 24/7
• Get a full introduction to Python Data Science & Anaconda
• Cover basic analysis tools like Numpy Arrays, Operations, Arithmetic, Equation-solving, Matrices, Vectors & Broadcasting
• Explore data structures & reading in Pandas, including CSV, Excel, JSON, and HTML data
• Pre-process & wrangle your Python data by removing NAs/No data, handling conditional data, grouping by attributes, etc.
• Create data visualizations like histograms, boxplots, scatterplots, barplots, pie/line charts & more

Tensorflow & Keras Masterclass for Machine Learning and AI in Python

• Access 61 lectures & 5 hours of content 24/7
• Get a full introduction to Python Data Science
• Get started w/ Jupyter notebooks for implementing data science techniques in Python
• Learn about Tensorflow & Keras installation
• Understand the workings of Pandas & Numpy
• Cover the basics of the Tensorflow syntax & graphing environment and Keras syntax
• Discover how to create artificial neural networks & deep learning structures w/ Tensorflow & Keras

Complete Data Science Training with Python for Data Analysis

• Access 116 lectures & 12 hours of content 24/7
• Get a full introduction to Python Data Science & Anaconda
• Cover basic analysis tools like Numpy Arrays, Operations, Arithmetic, Equation-solving, Matrices, Vectors & Broadcasting
• Explore data structures & reading in Pandas, including CSV, Excel, JSON, and HTML data
• Pre-process & wrangle your Python data by removing NAs/No data, handling conditional data, grouping by attributes, etc.
• Create data visualizations like histograms, boxplots, scatterplots, barplots, pie/line charts & more
• Discover how to create artificial neural networks & deep learning structures

Tensorflow Masterclass for Machine Learning & AI

• Access 62 lectures & 5 hours of content 24/7
• Get a full introduction to Python Data Science
• Get started w/ Jupyter notebooks for implementing data science techniques in Python
• Learn about Tensorflow installation & other Python data science packages
• Understand the workings of Pandas & Numpy
• Cover the basics of the Tensorflow syntax & graphing environment
• Learn statistical modeling w/ Tensorflow
• Discover how to create artificial neural networks & deep learning structures w/ Tensorflow

Machine Learning Terminology & Process For Beginners

• Access 26 lectures & 3 hours of content 24/7
• Understand basic machine learning terminology & process
• Learn how to frame a machine learning problem & when to use machine learning
• Prepare & develop data sets