Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
20 Hour(s) 32 Minute(s)
Language
English
Taught by
Akhil Vydyula
Rating
2 views
Course Overview
Comprehensive Guide to Machine Learning Algorithms and Projects From Theory to Deployment: A Hands-On Machine Learning J
Interested in the field of Machine Learning? Then this course is perfect for you!
Designed by professional data scientists, this course offers a clear and engaging path to mastering complex machine-learning concepts, algorithms, and coding libraries.
Discover a comprehensive roadmap connecting key machine learning ideas, practical learning methods, and essential tools.
Machine learning has a real-world impact:
Healthcare: Assisting in disease diagnosis and treatment recommendations.
Transportation: Optimizing traffic flow with tools like Google Maps.
Python is the language of choice for data scientists. This course will guide you from Python basics to advanced deep learning techniques.
Uncover the world of AI through four key sections:
Python: Build a strong foundation with data structures, libraries, and data preprocessing.
Machine Learning: Master regression, classification, clustering, and NLP.
Deep Learning: Explore neural networks, CNNs, RNNs, and more.
Time Series Analysis: Gain insights from sequential data.
Learn by doing with hands-on exercises and real-world projects.
Who is this course for?
Aspiring data scientists and machine learning enthusiasts
Students seeking a career in data science
Data analysts looking to advance their skills
Anyone passionate about using data to drive business value
Join us on this exciting journey! I'm Akhil Vydyula, an Associate Consultant at Atos India specializing in data analytics and machine learning in the BFSI sector. With a passion for data-driven insights, I'm excited to share my knowledge and experience with you. Let's explore the world of machine learning together!
Course Content
- 9 section(s)
- 32 lecture(s)
- Section 1 Python Primer: A Beginner's Journey into Python's Fundamentals
- Section 2 Machine Learning Foundations: A Beginner's Guide to the Basics of ML
- Section 3 Deep Learning Demystified: An Introduction to the Basics of Deep Learning
- Section 4 Time Series Insights: An Introduction to the Basics of Time Series Analysis
- Section 5 Flight Fare Prediction Project-1: Predicting and Analyzing Flight Ticket Prices
- Section 6 Mushroom Classification Project-2: Exploratory Data Analysis for Insightful
- Section 7 Nursery School Application Classification Project-3: Regression Analysis
- Section 8 Toxic Comments Classification Project-4 : Identifying and Analyzing Toxic
- Section 9 UK Road Accident Timeseries Analysis: Exploratory Data Analysis for Forecasting
What You’ll Learn
- Learn the concepts of Python,Machine learning, Deep Learning,Time series. Implement Real World Projects with Proof Of Concept
- This course consists of 25+ hours video content and Downloadable files for all videos
- Data Scientists need to have a solid grasp of ML
- 5 Different Practical Data Science projects with I python Notebooks
Reviews
-
ssnehal salve
it was very nice and informative .
-
LLuis Eduardo Polania
Excellent
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RRohan Mistry
Amazing Explanation with Relative Best Material.
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PPratik Patil
I take a ton of Udemy classes. This class is really good. It's clear and to the point on how to use ML. There can be improvements like using Jupyter notebooks, deployments, how to better use predictions, and accuracy scoring. But overall, this course really hit home for me with how easy it was to learn. Thank you!
