Data Science Machine Learning & AI with 7 Hands on Projects

Data Science Machine Learning & AI with 7 Hands on Projects

Get well versed with Data Science Machine learning and AI by working on Hands-on Projects.

Here you will learn to build amazing capstone and advance level data science , machine learning models, ai based applications. Whether you want to become a Data Analyst ,Python developer, Full Stack Web Developer or Data Scientist – this course will assist you in every way and we will do the same by not just learning but mastering the skills as well !

By Building 7+ Capstone level AI Based Projects like:
– Flavor Recommender System
– Rating Bot
– Face Recognizer
– Guess Game – Puzzle
– 3d graph contour & surface triangulation
– Spam Mail Prediction Project
– Image Classification Using Tensor Flow & keras Sequential API In Python

Here we start from some easy projects then move on to more complex projects for better understanding. Keep watching in the sequence of sections as defined. If you want to create super-powerful artificial intelligence applications (ai).
So you are at the right place…The purpose of this course is to provide you with theoretical as well as practical knowledge , understanding of key aspects of modern AI ,data science and machine learning and make you develop capstone and advanced level projects.

This course is built after a crystal clear understanding and knowledge gained from some google developers having 8+ years of experience. These Projects once built and understood can create a drastic change in your life
So if you’re targeting any of the MAANG companies, including these in your resume will increase your chances of selection.

What you’ll learn?
  • Learn the Exploratory Data Analysis
  • How to Use Python for Data Science and Machine Learning
  • Building End to End Data Science, Machine Learning ,AI Based Projects
  • Deployment of Machine & Deep learning algorithms
  • Problem Solving Skills based on Data Science and ML and AI problems.
  • Prescriptive analytics in order to quantify the effect of future decisions
  • Predictive modeling and Predictive analysis
  • Build an army of powerful Machine Learning models and know how to combine them to solve any problem
Who is this course for?
  • Anyone interested in Data Science Machine Learning AI.
  • This course is for everyone who wants to master AI skills.
  • Python Developers Curious about Data Science
  • those interested in learning to code in Python from scratch through building capstone and advance level projects
  • Job-seekers, Software Engineers and Machine Learning Engineer’s and Data Scientists who want to level up their career
  • Students who have at least high school knowledge in math and who want to start learning Machine Learning.
  • Everyone who wants to improve their Python programming skills
Requirements:
  • No prerequisites are required so far.
Course content
1. Flavor Recommender System
Flavor Recommender Training the model
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Asking Model to Recommend Flavor
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2. Rating Bot …NLP
Rating bot : Reviews Rating data and modelling essentials
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Extracting features and Training NLP model
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Creating function to rate reviews based on user input for automation
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3. Face Recognizer
Setting up to create model
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Creating model
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Detecting images using model
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Face detection output
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4. Guess Game – Puzzle
Creating game
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Working and let’s play the game
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5. 3d graph contour & surface triangulation
3d graph contour and surface triangulation 5p
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6. Spam Mail Prediction Project
Building the Spam Mail Predictor
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7. Image Classification Using Tensor Flow & keras Sequential API In Python
Data understanding
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Implementation Using Tensor Flow & keras Sequential API In Python
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