Python for Data Science and Machine Learning

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Python for Data Science and Machine Learning

A Practical Approach Learn by Implementing

What you’ll learn

  • Downloading and Installing the required Files for Data Science and Machine learning
  • All about Numpy : array manipulation , slicing , transpose , and all functions of it etc..
  • How to Use Python for Data Science and Machine Learning
  • Learn to use Pandas for Data Analysis
  • A-Z pandas
  • Exploratory Data Analysis
  • Problem Solving Skills based on Data Science and Ml problems.
  • Statistics Required For Data Science and Machine Learning
  • Stock Data Analysis
  • Working with Different Datasets and Making Predictions
  • Applying Decision tree classifier , Naive bayes and other Machine Learning Models to solve the problems
  • Understanding Regression and Correlation
  • Building Regression Model to deal with house price prediction
  • Text Data Extraction from Image
  • Kmeans and Hierarchical Clustering etc


  • No prerequisites required anyone willing to learn can join

Who this course is for:

  • Python developers curious about Data Science
  • Anyone interested in Machine Learning , Data Science.
  • Students who have at least high school knowledge in math and who want to start learning Machine Learning.
  • Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
  • Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
  • Any students in college who want to start a career in Data Science
  • Any data analysts who want to level up in Machine Learning.
  • Any people who are not satisfied with their job and who want to become a Data Scientist.
  • Any people who want to create added value to their business by using powerful Machine Learning tools.
  • Students in the field of Data Science
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