| 1 - Introduction to Machine Learning.mp4 | 100.1 MB | ||
| 10 - Stock Price Prediction with LSTM Neural Network.mp4 | 58.7 MB | ||
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| 13 - Image Classification with Neural Networks.mp4 | 40.7 MB | ||
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| 16 - Visualize a Machine Learning Algorithm.mp4 | 23.9 MB | ||
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| 19 - Instagram Reach Analysis with Machine Learning.mp4 | 113.3 MB | ||
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| 22 - Mobile Price Classification with Machine Learning.mp4 | 53 MB | ||
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| 24 - Gold Price Prediction with Machine Learning.mp4 | 54.8 MB | ||
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| 27 - Language Translation with Machine Learning.mp4 | 284.5 MB | ||
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| 3 - Waiter Tips Prediction with Machine Learning.mp4 | 55.6 MB | ||
| 30 - Covid19 Vaccine Sentiment Analysis.mp4 | 192.6 MB | ||
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| 33 - Hotel Recommendation System with NLP.mp4 | 97.6 MB | ||
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| 36 - Email Spam Detection with NLP.mp4 | 58.5 MB | ||
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| 39 - Data Augmentation in Deep Learning and Neural Networks model.mp4 | 160.3 MB | ||
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| 42 - Image to Pencil Sketch.mp4 | 44.2 MB | ||
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| 45 - Hate Speech Detection Model.mp4 | 48 MB | ||
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| 48 - SMS Spam Detection with Machine Learning.mp4 | 124.2 MB | ||
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| 51 - Resume Screening with Machine Learning.mp4 | 131.6 MB | ||
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| 54 - Credit Card Fraud Detection with Machine Learning.mp4 | 124.5 MB | ||
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| 57 - YouTube Trending Videos Analysis.mp4 | 71.3 MB | ||
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| 59 - Bokeh-in-Python.pdf | 4.1 MB | ||
| 59 - Data Science Machine Learning Deep Learning and Python Cheat Sheets.html | 0 B | ||
| 59 - Data-Exploration-with-Pandas-in-Python.pdf | 464.2 KB | ||
| 59 - Data-Science-Cheatsheet-2.0.pdf | 1.7 MB | ||
| 59 - Data-Science-Cheatsheet.pdf | 1.1 MB | ||
| 59 - Data-Science-With-Python-Workflow.pdf | 1.5 MB | ||
| 59 - Data-Wrangling-in-Pandas.pdf | 3.5 MB | ||
| 59 - Data-visualization-with-ggplot2.pdf | 2 MB | ||
| 59 - Deep-Learning-1.pdf | 2.5 MB | ||
| 59 - Deep-Learning-2.pdf | 334.9 KB | ||
| 59 - Deep-Learning-with-Keras.pdf | 438 KB | ||
| 59 - Deep-Learning-with-torch.pdf | 1.9 MB | ||
| 59 - Jupyterlab.pdf | 3.8 MB | ||
| 59 - Keras-in-Python.pdf | 5.8 MB | ||
| 59 - Linear-Algebra-and-Calculus.pdf | 302.3 KB | ||
| 59 - Machine-Learning-1.pdf | 6.2 MB | ||
| 59 - Machine-Learning-2.pdf | 1.3 MB | ||
| 59 - Machine-Learning-3.pdf | 1.3 MB | ||
| 59 - Machine-Learning-Algorithms-Python-and-R.pdf | 3.5 MB | ||
| 59 - Machine-Learning-Interview.pdf | 6.1 MB | ||
| 59 - Machine-Learning-Tips.pdf | 557.1 KB | ||
| 59 - Math-and-Statistical-Machine-Learning.pdf | 3.7 MB | ||
| 59 - Matplotlib-in-Python.pdf | 3 MB | ||
| 59 - Natural-Language-Processing-with-Python-nltk.pdf | 56.5 KB | ||
| 59 - Numpy.pdf | 4.8 MB | ||
| 59 - PGS-Catalog-access-with-quincunx.pdf | 372.4 KB | ||
| 59 - Pandas.pdf | 3.9 MB | ||
| 59 - Probabilities-and-Statistics.pdf | 331.3 KB | ||
| 59 - Probability.pdf | 789.3 KB | ||
| 59 - PySpark-RDD.pdf | 5.3 MB | ||
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| 59 - Python-Basic.pdf | 1.4 MB | ||
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| 59 - Seaborn.pdf | 1.7 MB | ||
| 59 - Searching-CRAN-with-Packagefinder.pdf | 254.7 KB | ||
| 59 - Segmentation-and-Clustering.pdf | 785.6 KB | ||
| 59 - Supervised-Learning.pdf | 641.3 KB | ||
| 59 - Top-Machine-Learning-Algorithms.pdf | 3.3 MB | ||
| 59 - Unsupervised-Learning.pdf | 445.9 KB | ||
| 6 - Future Sales Prediction with Machine Learning.mp4 | 41.4 MB | ||
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| 8 - Cryptocurrency Price Prediction for the next 30 days.mp4 | 81.6 MB | ||
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| Advertising.csv | 5 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Classification with Neural Networks.ipynb | 24.6 KB | ||
| Covid_19_Vaccine_Sentiment_Analysis.ipynb | 4.4 MB | ||
| Credit_Card_Fraud_Detection_with_Machine_Learning.ipynb | 248.5 KB | ||
| Cryptocurrency Price Prediction for the next 30 days.ipynb | 981.6 KB | ||
| Data Augmentation in Deep Learning and neural networks model.ipynb | 12.6 MB | ||
| Future Sales Prediction with Machine Learning.ipynb | 3.8 MB | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| Gold Price Prediction using Machine Learning with Python.ipynb | 86.2 KB | ||
| Hate Speech Detection Model.ipynb | 14.4 KB | ||
| Hindi_English_Truncated_Corpus.csv | 39.5 MB | ||
| Hotel Recommendation System with Natural Language Processing.ipynb | 25.6 KB | ||
| Hotel_Reviews.csv | 227.1 MB | ||
| Image to Pencil Sketch with Python.ipynb | 4 KB | ||
| Instagram Reach Analysis using Python.ipynb | 4.7 MB | ||
| Instagram.csv | 58.3 KB | ||
| Language Translation with Machine Learning.ipynb | 45.1 KB | ||
| Mobile Price Classification with Machine Learning.ipynb | 427.6 KB | ||
| Resume Screening with machine learning.ipynb | 811.8 KB | ||
| SMS Spam Detection with Machine Learning.ipynb | 73.9 KB | ||
| Stock Price Prediction with LSTM Neural Network.ipynb | 352.4 KB | ||
| USvideos.csv | 50.9 MB | ||
| UpdatedResumeDataSet.csv | 3 MB | ||
| Visualize a Machine Learning Algorithm.ipynb | 50.3 KB | ||
| Waiter Tips Prediction with Machine Learning.ipynb | 4 MB | ||
| YouTube Trending Videos Analysis with Python.ipynb | 827.5 KB | ||
| advertising.csv | 4 KB | ||
| beach.jpg?042148 | 1.1 MB | ||
| cat.jpg?042148 | 2 MB | ||
| creditcard.csv | 143.8 MB | ||
| fashion-mnist_test.csv | 21.1 MB | ||
| fashion-mnist_train.csv | 126.9 MB | ||
| mobile_prices.csv | 119.5 KB | ||
| spam.csv | 491.9 KB | ||
| t10k-images-idx3-ubyte | 7.5 MB | ||
| t10k-labels-idx1-ubyte | 9.8 KB | ||
| test.csv | 1.6 MB | ||
| tips.csv | 7.8 KB | ||
| train-images-idx3-ubyte | 44.9 MB | ||
| train-labels-idx1-ubyte | 58.6 KB | ||
| train.csv | 3 MB | ||
| vaccination_tweets.csv | 4.3 MB | ||
| ▲ 144 total files | |||
Machine Learning And Deep Learning Projects In Python
https://DevCourseWeb.com
Published 8/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.57 GB | Duration: 5h 33m
20 practical projects of Machine Learning and Deep Learning and their implementation in Python along with all the codes
What you'll learn
Introducing the structure of Machine Learning and Deep Learning and their application in real problems
Introducing Machine Learning and Deep Learning algorithms and launching them in projects
Implementing Machine Learning and Deep Learning algorithms in Python
Familiarity with Python syntax for using Machine Learning and Deep Learning
Familiarity with Prediction Models
Data preparation and Visualization for use in Machine Learning and Deep Learning algorithms
Using Case Studies in projects
Learning how to use APIs to collect up-to-date data and learn about different Data sets
Introducing and using different Machine Learning and Deep Learning libraries in Python
Getting to know different Neural Networks and using them in real projects
Image processing using Artificial Neural Network (ANN) in Python
Classification with Neural Networks using Python
Familiarity with Natural Language Processing (NLP) and its use in projects
Forecasting the amount of sales, product price, sales price, etc.
Introducing and using algorithm validation metrics such as: Confusion matrix, Accuracy score, Precision score, Recall score, F1 score, etc.
+40 Cheat Sheets of Data Science, Machine Learning, Deep Learning and Python
Requirements
Basic Python
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 3.4 GB | freecoursewb | 2 days | 2 | 22 | |
| 1.2 GB | freecoursewb | 2 weeks | 10 | 10 | |
| 1.9 GB | freecoursewb | 1 month | 5 | 0 | |
| 2.6 GB | freecoursewb | 1 month | 6 | 3 | |
| 2.5 GB | freecoursewb | 1 month | 1 | 9 |
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