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Python for Data Science and Machine Learning

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Last updated on April 5, 2021 08:46

Description

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..


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This course is based on practical Approach towards Machine Learning and Data Science.

Starting from the basic python libraries and going to implement and perform more complex level predictions.

There is no prerequisite for this course but still you must go through the python basic documentation which you will get in this course material.

and you must have basic knowledge of python before starting with this course.

There will be some assignments based on data science which will include

  • stock analysis

  • text extraction

  • working on different data sets

  • applying different algorithms in an effective manner.

  • more

Here we explore different methods , libraries . make predictions , verify results and more .

Learn how to use

  • NumPy

  • Pandas

  • Seaborn

  • Matplotlib

  • Plotly

  • Scikit-Learn

  • Machine Learning

  • more!

This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!

This will going to most effective and comprehensive course for data science aspirants

you will be able to think like a data wizard or data scientist.]

you will get the dataset from the course material and also its available on web i will show you have to download that also.

you will also get some good understanding of

data cleaning

data preprocessing

data methodologies

applying tests

etc

updates

CODES ALL UP TO DATE

Who this course is for:

  • 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

  • Any one who is 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
  • Any one who is willing to learn can join .

Course content

  • Introduction
  • Numpy : numpy functions , Array operations , more
  • A-Z Pandas
  • Statistics For Data Science
  • Stock Data Analysis
  • Working with Datasets and Making Predictions
  • Data Extraction from Image
  • Kmeans and Hierarchical Clustering

Created by : Kumar Rajmani Bapat

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