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Data Science and Machine Learning Course Description

Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is related to data mining and big data. Data science is a “concept to unify statistics, data analysis, machine learning and their related methods” in order to “understand and analyze actual phenomena” with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science.

Course: Data Science and Machine Learning Training Course
Duration: 100 Hours

CONTENTS OF COURSE DETAILS

  • Course Introduction
  • Environment Set-Up
  • Jupyter Overview
  • Python Crash Course
  • Python for Data Analysis – NumPy
  • Python for Data Analysis – Pandas
  • Python for Data Analysis – Pandas Exercises
  • Python for Data Visualization – Matplotlib
  • Python for Data Visualization – Seaborn
  • Python for Data Visualization – Pandas Built-in Data Visualization
  • Python for Data Visualization – Plotly and Cufflinks
  • Python for Data Visualization – Geographical Plotting
  • Data Capstone Project
  • Introduction to Machine Learning
  • Linear Regression
  • Cross Validation and Bias-Variance Trade-Off
  • Logistic Regression
  • K Nearest Neighbors
  • Decision Trees and Random Forests
  • Support Vector Machines
  • K Means Clustering
  • Principal Component Analysis
  • Recommended Systems
  • Natural Language Processing
  • Big Data and Spark with Python


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