Published 11/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 7.82 GB | Duration: 18h 45m
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
Requirements
Python Programming Basics
Basic understanding of Machine Learning and Deep Learning
Description
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 DetectionProject 2: Customer churn rate predictionProject 3: Medical insurance premium predictionProject 4: House price predictionProject 5: E signing of customers based on financial dataProject 6: Credit card fraud detectionProject 7: Employee Attrition PredictionProject 8: Customer SegmentationProject 9: Used Car Price PredictionProject 10: Restaurant Reviews ClassificationProject 11: Multiclass image classification with ANNProject 12: Binary Data Classification with ANNProject 13: Object Recognition in Images with CNNProject 14: Binary Image Classification with CNNProject 15: Digit Recognition with CNNProject 16: Breast Cancer Detection with CNNProject 17: Predicting the Bank Customer Satisfaction with CNNProject 18: Credit Card Fraud Detection with CNNProject 19: IMDB Review Classification with RNN – LSTMProject 20: Multiclass Image Classification with RNN – LSTMProject 21: Google Stock Price Prediction with RNN and LSTMProject 22: Transfer Learning for Cats and Dogs ClassificationProject 23: Movie Review Classification with NLTKWith this course, I will teach you:1) To work on Regression, Classification, and Clustering Projects in Machine Learning2) Text projects in Machine Learning3) NN, CNN, RNN, and Transfer Learning Projects4) To build the Neural Networks from the scratch5) You will have a complete understanding of Artificial Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks3) You will learn to build the neural networks with LSTM and GRU4) Hands-On Transfer Learning5) Learn Natural Language Processing by doing a text classification projectSo 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
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