English | Size: 7.9 GB
Genre: eLearning
Work On 23 Projects in Machine Learning & Deep Learning, Regression, Classification, Clustering, ANN, CNN, RNN, & More!
What you’ll learn
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 Network (ANN)
Projects on Convolutional Neural Network (CNN)
Projects on Recurrent Neural Network (RNN)
Projects on Transfer Learning
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, which are 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 understand the complexities of Machine Learning and Deep Learning in an easy way, as we will be working with Google colab 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
With this course, I will teach you:
1) To work on Regression, Classification, and Clustering Projects in Machine Learning
2) Text projects in Machine Learning
3) NN, CNN, RNN, and Transfer Learning Projects
4) To build the Neural Networks from the scratch
5) You will have a complete understanding of Artificial Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks
3) You will learn to build the neural networks with LSTM and GRU
4) Hands-On Transfer Learning
5) Learn Natural Language Processing by doing a text classification project
So what are you waiting for, Enroll Now and learn Machine Learning and Deep Learning to advance your career and increase your knowledge!
Regards,
Vijay Gadhave
Who this course is for:
Anyone who wants to learn practical applications of Machine Learning and Deep Learning
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