Python for Data Science and Machine Learning
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..
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 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 .
Stay tuned I will continue bringing more such courses to stay productive and updated with latest trends
in Computer Science Engineering and Data Science.
Also please provide your Wonderful Feedback and Rating.
Thank you ...
In this hard times also continue to upgrade yourself and be trained for the future
Stay safe and stay home.
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 .
Instructor
- 3.8 Instructor Rating
- 645 Reviews
- 70,133 Students
- 9 Courses
Hello Everyone !!
I am a self-driven and motivated computer scientist with the ability to develop and maintain robust software products, web apps, and data science projects of almost any type. Having a specialization in the area of data science and software development with a core interest in AI and Cloud Technologies. I have hands-on experience in analyzing data using SQL and Python and Tableau, and Excel, also in applying machine learning algorithms to building high-accuracy models for prediction and developing large-scale software scalable applications, etc. I earlier worked as a Research Data Scientist at Indian Meteorological Department for a year and where I worked on a live project and developed an AI-based Crop disease detection System with 92 percent accuracy. Furthermore, my major project was a B2B Ecommerce Website that was developed in Django, Flask and Java, SQLite, and JavaScript. I also presented it at an International Conference, and it was published in an international journal. I have completed training in the Google Cloud Platform by Google on Cloud Engineering and Data Science and Machine Learning Tracks and have good experience and understanding working with it also.
Programming Languages Expertise: Java, Python, C, C++, Assembly.
Global Certificates and Batches: Google Cloud Engineering and Machine Learning all tracks completed Batches, Oracle Certified Generative AI Professional
Microsoft Certified Azure and Data Fundamental, DET
Development tools: Django, Flask, Excel, Tableau, PostgreSQL Jupyter, Visual Studio Code, GCP, Hadoop, Spark, Windows/Linux, Office, and Python Libraries for Advance data analysis.
Apart from this, I am an Instructor of some amazing courses here at Udemy such as
Python for Data Science and Machine learning and Flask and Now coming the latest one etc.
I have also authored a few research-based books such as Predictive Data Analysis using python etc.
In my spare time, I like Playing Chess, Reading Articles, Coding, Solving Statistics, and data-related problems, and Learning new things. I have also won around 20+ trophies in Open Chess Tournaments till now.
I hope you like My Courses' Content and Exclusive Materials and Documentation feel free to provide your Good Rating and Feedback. And Stay Tuned and will continue bringing more such courses to stay productive and updated with the latest trends in Data Science and Machine Learning and Computer Science Engineering. If you want to contact me regarding anything you can reach me through LinkedIn or email or Messages section etc.
Thank you.