Practical Python Data Science Techniques

Colleagues, the Practical Python Data Science Techniques program equips you to calculate the word frequencies using Data Science techniques of Python, work with Scikit-learn to solve problems in Machine Learning, and perform Cluster Analysis using Python Data Science. You will learn to perform Exploratory data analysis on your Data, Clean and process your Data to have the right shape, Tokenize your Document to words with Python, Calculate the word frequencies using Data Science Techniques of Python, Work with scikit-learn to solve every problem in Machine Learning, Perform Cluster Analysis using Python Data Science Techniques, and Build a Time Series Analysis with Panda. Work time dimension data and learn to build a recommendation system as well as about supervised learning problems (regression and classification) and unsupervised learning problems (clustering). Learn to perform text preprocessing steps that are necessary for every text analysis application. Specifically, the course will cover tokenization, stop-word removal, stemming and other preprocessing techniques.Training modules address: 1) Exploring Your Data, 2) Dealing with Text, 3) Machine Learning Problems, and 4) Time Series and Recommender Systems.

Enroll today (individuals & teams welcome): https://tinyurl.com/crtzhxts 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy