Python for Data Science and Machine Learning Bootcamp

Colleagues, in the “Python for Data Science and Machine Learning Bootcamp” class you will learn how to use NumPy, Pandas, Seaborn , Matplotlib, Plotly, Scikit-Learn, Machine Learning, and Tensorflow. In addition you will learn to use Python for Data Science, Machine Learning and Spark for Big Data Analysis, implement Machine Learning Algorithms, and use NumPy for Numerical Data, Pandas for Data Analysis, Matplotlib for Python Plotting, Seaborn for statistical plots, Plotly for interactive dynamic visualizations, SciKit-Learn for Machine Learning Tasks and K-Means Clustering. [165 lectures • 24 hours 54 minutes of training]. Training lessons address: 1) Environment Set-Up, 2) Jupyter Overview, 3) Python Crash Course, 4) Python for Data Analysis - NumPy, 5) Pandas, 6) Data Visualization - Matplotlib, Seaborn, 7) Pandas Built-in Data Visualization, Plotly and Cufflinks, 8) Geographical Plotting, 9) Data Capstone Project, 10) Introduction to Machine Learning, 11) Linear Regression, 12) Cross Validation and Bias-Variance Trade-Off, 13) Logistic Regression, 14) K Nearest Neighbors, 15) Decision Trees and Random Forests, 16) Support Vector Machines, 17) K Means Clustering, 18) Principal Component Analysis, 19) Recommender Systems, 20) Natural Language Processing, 21) Neural Nets and Deep Learning, and 22) Big Data and Spark with Python.

Enroll today (teams & executives are welcome): https://imp.i384100.net/75Azqr 

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team) https://tinyurl.com/hh7bf4m9