What you’ll learn?
Machine Learning & Deep Learning Projects for Beginners 2023
- Complete understanding of Machine Learning Project flow
- Machine Learning and Deep Learning Practical Applications
- Machine Learning for Regression Problems
- Machine Learning for Classification Problems
- Clustering with Machine Learning
- NLP with Machine Learning
- Improving the performance of a machine learning model
- Projects on Artificial Neural Networks (ANN)
- Projects on Convolutional Neural Networks (CNN)
- Projects on Recurrent Neural Networks (RNN)
- Projects on Transfer Learning
Requirements
Machine Learning & Deep Learning Projects for Beginners
Hello Data Lover,
Welcome to this course,
‘Machine Learning & Deep Learning Projects for Beginners 2023’.
In this course, I will teach you to work on different
23 projects from various categories like Regression, Classification, Clustering, ANN, CNN, RNN, and Transfer Learning!
Artificial Intelligence and Machine Learning are growing exponentially in today’s world. There is multiple application of AI and Deep Learning like
Self Driving Cars, Chatbots, Image Recognition, Virtual Assistance, ALEXA, and so on…
With this course, you will easily understand the complexities of Machine Learning and Deep Learning, as we will be working with Google collab Notebook.
In Google Colab you can start the coding with
Zero Installation, whether you’re an expert or a beginner, in this course you will learn an
end-to-end implementation of Machine Learning and Deep Learning Algorithms.
List of the Projects that you will work on:
- Project 1: Breast Cancer Detection
- Project 2: Customer churn rate prediction
- Project 3: Medical insurance premium prediction
- Project 4: House price prediction
- Project 5: E-signing of customers based on financial data
- Project 6: Credit card fraud detection
- Project 7: Employee Attrition Prediction
- Project 8: Customer Segmentation
- Project 9: Used Car Price Prediction
- Project 10: Restaurant Reviews Classification
- Project 11: Multiclass image classification with ANN
- Project 12: Binary Data Classification with ANN
- Project 13: Object Recognition in Images with CNN
- Project 14: Binary Image Classification with CNN
- Project 15: Digit Recognition with CNN
- Project 16: Breast Cancer Detection with CNN
- Project 17: Predicting the Bank Customer Satisfaction with CNN
- Project 18: Credit Card Fraud Detection with CNN
- Project 19: IMDB Review Classification with RNN – LSTM
- Project 20: Multiclass Image Classification with RNN – LSTM
- Project 21: Google Stock Price Prediction with RNN and LSTM
- Project 22: Transfer Learning for Cats and Dogs Classification
- Project 23: Movie Review Classification with NLTK
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