Download Machine Learning & Deep Learning Projects for Beginners 2023 torrent

Machine Learning & Deep Learning Projects for Beginners 2023

Torrent:	Machine Learning & Deep Learning Projects for Beginners 2023
Description:	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 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 Requirements Python Programming Basics Basic understanding of Machine Learning and Deep Learning Last Updated 11/2022
Downloads:	133
Category:	Other /Tutorials
Size:	8 GB
Show Files »	Machine Learning & Deep Learning Projects for Beginners 2023 [TutsNode.net] - Machine Learning & Deep Learning Projects for Beginners 2023 2 - Project 1 Breast Cancer Detection 6 - Data Preprocessing Part 2.mp4 (182.5 MB) 9 - Hyperparameter Tuning using Randomized search.mp4 (171.0 MB) 5 - Data Preprocessing Part 1.mp4 (133.1 MB) 7 - Logistic Regression.mp4 (130.8 MB) 8 - Random Forest Classifier.mp4 (60.8 MB) 4 - Business Problem.mp4 (46.2 MB) 10 - Predicting a Single Observation.mp4 (34.2 MB) 12 - Project 11 Multiclass image classification with ANN 61 - Imp Lecture dont skip.html (2.7 KB) 60 - Step 2 Data Preprocessing.mp4 (143.4 MB) 64 - Step 5 Model evaluation and performance.mp4 (80.1 MB) 62 - Step 3 Building the Model.mp4 (78.6 MB) 63 - Step 4 Training the Model.mp4 (69.9 MB) 59 - Step 1 Installation and Setup.mp4 (33.0 MB) 1 - Introduction 3 - Colab Notebooks.html (0.3 KB) 1 - Course Overview.mp4 (9.4 MB) 2 - Important Udemy Review Update.mp4 (8.4 MB) 13 - Project 12 Binary Data Classification with ANN 66 - Binary Data Classification Step 2.mp4 (171.4 MB) 67 - Binary Data Classification Step 3.mp4 (67.4 MB) 69 - Binary Data Classification Step 5.mp4 (56.8 MB) 65 - Binary Data Classification Step 1.mp4 (22.3 MB) 68 - Binary Data Classification Step 4.mp4 (20.4 MB) 5 - Project 4 House price prediction 25 - Data Preprocessing Part 1.mp4 (159.2 MB) 26 - Data Preprocessing Part 2.mp4 (143.3 MB) 28 - Hyperparameter Tuning using Randomized Search.mp4 (111.0 MB) 27 - Building and Finalizing the model.mp4 (92.5 MB) 24 - Business Problem.mp4 (31.5 MB) 3 - Project 2 Customer churn rate prediction 17 - Hyperparameter Tuning using Randomized Search.mp4 (153.6 MB) 12 - Data Preprocessing part 1.mp4 (125.9 MB) 13 - Data Preprocessing part 2.mp4 (104.5 MB) 14 - Logistic Regression.mp4 (88.8 MB) 15 - Random Forest Classifier.mp4 (47.1 MB) 16 - XGBoost Classifier.mp4 (38.7 MB) 11 - Business Problem.mp4 (33.3 MB) 18 - Predicting a Single Observation.mp4 (27.5 MB) 18 - Project 17 Predicting the Bank Customer Satisfaction with CNN 87 - Predicting the Bank Customer Satisfaction Step 2.mp4 (151.3 MB) 88 - Predicting the Bank Customer Satisfaction Step 3.mp4 (90.9 MB) 86 - Predicting the Bank Customer Satisfaction Step 1.mp4 (84.4 MB) 89 - Predicting the Bank Customer Satisfaction Step 4.mp4 (63.4 MB) 24 - Project 23 Movie Review Classification with NLTK 110 - Movie Review Classifivation with NLTK Step 2.mp4 (145.8 MB) 109 - Movie Review Classifivation with NLTK Step 1.mp4 (134.8 MB) 14 - Project 13 Object Recognition in Images with CNN 72 - Object Recognition in Images Step 3.mp4 (134.4 MB) 71 - Object Recognition in Images Step 2.mp4 (59.6 MB) 74 - Object Recognition in Images Step 5.mp4 (50.8 MB) 73 - Object Recognition in Images Step 4.mp4 (41.0 MB) 70 - Object Recognition in Images Step 1.mp4 (11.2 MB) 22 - Project 21 Google Stock Price Prediction with RNN and LSTM 103 - Google Stock Price Prediction with RNN and LSTM Step 4.mp4 (120.3 MB) 100 - Google Stock Price Prediction with RNN and LSTM Step 1.mp4 (117.1 MB) 102 - Google Stock Price Prediction with RNN and LSTM Step 3.mp4 (85.3 MB) 101 - Google Stock Price Prediction with RNN and LSTM Step 2.mp4 (58.1 MB) 104 - Google Stock Price Prediction with RNN and LSTM Step 5.mp4 (23.5 MB) 7 - Project 6 Credit card fraud detection 37 - Data Preprocessing Part 2.mp4 (113.2 MB) 38 - Building and Finalizing the model.mp4 (91.8 MB) 36 - Data Preprocessing Part 1.mp4 (47.7 MB) 35 - Business Problem.mp4 (31.1 MB) 39 - Predicting a single observation.mp4 (25.2 MB) 19 - Project 18 Credit Card Fraud Detection with CNN 91 - Credit Card Fraud Detection with CNN Step 2.mp4 (107.8 MB) 92 - Credit Card Fraud Detection with CNN Step 3.mp4 (96.7 MB) 90 - Credit Card Fraud Detection with CNN Step 1.mp4 (90.4 MB) 93 - Credit Card Fraud Detection with CNN Step 4.mp4 (62.8 MB) 6 - Project 5 E signing of customers based on financial data 31 - Data Preprocessing Part 2.mp4 (107.4 MB) 32 - Building and Finalizing the model.mp4 (92.6 MB) 33 - Hyperparameter Tuning using Randomized Search.mp4 (89.4 MB) 30 - Data Preprocessing Part 1.mp4 (82.1 MB) 29 - Business Problem.mp4 (30.4 MB) 34 - Predicting a single observation.mp4 (20.2 MB) 4 - Project 3 Medical insurance premium prediction 21 - Data Preprocessing Part 2.mp4 (106.0 MB) 22 - Building and Finalizing the model.mp4 (84.0 MB) 20 - Data Preprocessing Part 1.mp4 (77.0 MB) 23 - Predicting a single observation.mp4 (37.8 MB) 19 - Business Problem.mp4 (19.3 MB) 17 - Project 16 Breast Cancer Detection with CNN 83 - Breast Cancer Detection with CNN Step 1.mp4 (102.5 MB) 84 - Breast Cancer Detection with CNN Step 2.mp4 (57.8 MB) 85 - Breast Cancer Detection with CNN Step 3.mp4 (53.7 MB) 8 - Project 7 Employee Attrition Prediction 44 - Hyperparameter Tuning using Randomized Search.mp4 (102.0 MB) 42 - Data Preprocessing Part 2.mp4 (96.2 MB) 41 - Data Preprocessing Part 1.mp4 (89.0 MB) 43 - Building and Finalizing the model.mp4 (87.9 MB) 40 - Business Problem.mp4 (25.4 MB) 45 - Predicting a single observation.mp4 (13.7 MB) 15 - Project 14 Binary Image Classification with CNN 77 - Binary Image Classification Step 3.mp4 (102.0 MB) 78 - Binary Image Classification Step 4.mp4 (87.9 MB) 76 - Binary Image Classification Step 2.mp4 (85.5 MB) 79 - Binary Image Classification Step 5.mp4 (5 files
Added:	2022-12-25 22:04:46
Language:	English
Peers:	Seeders : 77 , Leechers : 66
Release name:	Machine Learning & Deep Learning Projects for Beginners 2023
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