Data Science and Machine Learning Series: Probability Distribution, Statistics, and Data Analysis using Pandas

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 2h 17m | 311 MB

Master probability distribution, statistics, and data analysis using Pandas in this course within the Data Science and Machine Learning Series. Follow along with machine learning expert Advait Jayant through a combination of lecture and hands-on to practice applying Pandas when performing analytics.

The following six topics will be covered in this Data Science and Machine Learning course:

• Introducing Statistics Distributions. Be able to explain a probability distribution, normal distribution, and multivariate normal distribution in this first topic in the Data Science and Machine Learning Series.
• Generating Multivariate Normal Distributions using Numpy. Generate multivariate normal distributions using Numpy in this second topic in the Data Science and Machine Learning Series. Follow along with Advait in this hands-on session.
• Introducing the Pandas Library. Analyze tabular data using the Pandas Library in this third topic in the Data Science and Machine Learning Series. Follow along with Advait in this hands-on session.
• Analyzing the MNIST Dataset with both Pandas and Numpy. Analyze the MNIST Dataset with both Pandas and Numpy in this fourth topic in the Data Science and Machine Learning Series. Follow along with Advait in this hands-on session.
• Using the Pandas Library to Analyze Game Reviews from IGN. Use the Pandas Library to Analyze Game Reviews from IGN to determine which gaming console is winning the console wars, in this fifth topic in the Data Science and Machine Learning Series.
• Analyzing the Thanksgiving Dinner Survey Dataset. Analyze the Thanksgiving Dinner Survey Dataset in this sixth topic in the Data Science and Machine Learning Series.