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Data Science and Machine Learning Training

Data Science & Machine Learning Training

data_science_training

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 & Machine Learning Training
Duration:  100 Hrs

Contents

  • 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

Contents

  • 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
  • Recommender Systems
  • Natural Language Processing
  • Big Data and Spark with Python

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