Python for Data Science and Machine Learning

A Practical Approach Learn by Implementing
What you'll learn

ing and Installing the required Files for Data Science and Machine learning

.

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..

Requirements

No prerequisites required anyone willing to learn can join

Description

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 bners 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 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 .



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