Machine Learning & Deep Learning Projects for Beginners 2023
Год выпуска: 2022
Производитель: Udemy
Сайт производителя: www.udemy.com/course/machine-learning-deep-learning-projects-for-beginners-2023/
Автор: Vijay Gadhave
Продолжительность: 18.5h
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание: 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.
Содержание
01 - Introduction/
02 - Project 1 Breast Cancer Detection/
03 - Project 2 Customer churn rate prediction/
04 - Project 3 Medical insurance premium prediction/
05 - Project 4 House price prediction/
06 - Project 5 E signing of customers based on financial data/
07 - Project 6 Credit card fraud detection/
08 - Project 7 Employee Attrition Prediction/
09 - Project 8 Customer Segmentation/
10 - Project 9 Used Car Price Prediction/
11 - Project 10 Restaurant Reviews Classification/
12 - Project 11 Multiclass image classification with ANN/
13 - Project 12 Binary Data Classification with ANN/
14 - Project 13 Object Recognition in Images with CNN/
15 - Project 14 Binary Image Classification with CNN/
16 - Project 15 Digit Recognition with CNN/
17 - Project 16 Breast Cancer Detection with CNN/
18 - Project 17 Predicting the Bank Customer Satisfaction with CNN/
19 - Project 18 Credit Card Fraud Detection with CNN/
20 - Project 19 IMDB Review Classification with RNN LSTM/
21 - Project 20 Multiclass Image Classification with RNN LSTM/
22 - Project 21 Google Stock Price Prediction with RNN and LSTM/
23 - Project 22 Transfer Learning for Cats and Dogs Classification/
24 - Project 23 Movie Review Classification with NLTK/
Файлы примеров: не предусмотрены
Формат видео: MP4
Видео : AVC, 1280x720(16:9), 30.000 fps, 3 000 kb/s (0.017 bit/pixel)
Аудио: AAC, 44.1 kHz, 2 ch, 128 kb/s, CBR
