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1. Intro.mp4
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MP4
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3.7 MB
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1. Intro.srt
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SRT
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1.3 KB
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1. Introduction to Neural Networks.mp4
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MP4
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22.7 MB
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1. Introduction to Neural Networks.srt
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SRT
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17.6 KB
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1. Introduction to Real World ML.mp4
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MP4
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25.6 MB
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1. Introduction to Real World ML.srt
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SRT
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16.4 KB
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1. Introduction to Supervised Learning.mp4
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MP4
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25.5 MB
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1. Introduction to Supervised Learning.srt
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SRT
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18.3 KB
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1. Introduction to Unsupervised Learning.mp4
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MP4
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31.8 MB
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1. Introduction to Unsupervised Learning.srt
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SRT
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15.8 KB
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1. Introduction.mp4
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MP4
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1.7 MB
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1. Introduction.srt
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SRT
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1.6 KB
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1. Setting up OpenAI Gym.mp4
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MP4
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30.1 MB
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1. Setting up OpenAI Gym.srt
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SRT
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17.2 KB
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1.1 Board Game Review Predictions.zip.zip
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ZIP
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128.6 KB
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1.1 Credit Card Fraud Detection.zip.zip
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ZIP
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237.8 KB
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1.1 Final Project.zip.zip
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ZIP
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47 KB
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1.1 Image Super Resolution.zip.zip
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ZIP
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9.4 MB
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1.1 Intro to Natural Language Processing.zip.zip
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ZIP
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65 KB
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1.1 KMeans.zip.zip
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ZIP
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189.1 KB
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1.1 Object Recognition.zip.zip
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ZIP
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219 KB
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1.1 PCA.zip.zip
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ZIP
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219.6 KB
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1.1 Text Classification.zip.zip
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ZIP
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55.4 KB
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10. Quiz- Answers - Section 2.html
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HTML
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102.4 B
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10.1 Unit 2 Solutions.pdf.pdf
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PDF
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75.3 KB
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2. Association Rules.mp4
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MP4
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28.5 MB
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2. Association Rules.srt
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SRT
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18.7 KB
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2. Board Game Review Prediction - Building the Dataset Part 1.mp4
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MP4
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17.7 MB
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2. Board Game Review Prediction - Building the Dataset Part 1.srt
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SRT
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12.7 KB
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2. Building and Training the Network Part 1.mp4
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MP4
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36 MB
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2. Building and Training the Network Part 1.srt
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SRT
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20.3 KB
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2. Choosing an Algorithm.mp4
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MP4
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19.1 MB
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2. Choosing an Algorithm.srt
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SRT
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13.3 KB
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2. Credit Card Fraud Detection - The Dataset.mp4
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MP4
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37.6 MB
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2. Credit Card Fraud Detection - The Dataset.srt
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SRT
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26.5 KB
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2. Feature Engineering.mp4
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MP4
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375.4 MB
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2. Feature Engineering.srt
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SRT
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56.5 KB
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2. Linear Methods for Classification.mp4
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MP4
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34.1 MB
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2. Linear Methods for Classification.srt
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SRT
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22 KB
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2. Loading and Preprocessing the CIFAR10 Dataset.mp4
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MP4
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180.5 MB
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2. Loading and Preprocessing the CIFAR10 Dataset.srt
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SRT
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32.6 KB
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2. Preprocessing Images for Clustering.mp4
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MP4
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230.9 MB
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2. Preprocessing Images for Clustering.srt
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SRT
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46 KB
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2. Quality Metrics and Preprocessing Images.mp4
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MP4
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258.8 MB
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2. Quality Metrics and Preprocessing Images.srt
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SRT
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44.3 KB
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2. The Elbow Method.mp4
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MP4
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114.2 MB
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2. The Elbow Method.srt
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SRT
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29.1 KB
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2. The Perceptron.mp4
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MP4
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17.1 MB
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2. The Perceptron.srt
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SRT
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13.4 KB
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2. Tokenizing, Stop Words, and Stemming.mp4
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MP4
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198.3 MB
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2. Tokenizing, Stop Words, and Stemming.srt
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SRT
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30.1 KB
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2. What is Machine Learning.mp4
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MP4
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29.2 MB
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2. What is Machine Learning.srt
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SRT
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15.8 KB
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3. Board Game Review Prediction - Building the Dataset Part 2.mp4
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MP4
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35.5 MB
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3. Board Game Review Prediction - Building the Dataset Part 2.srt
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SRT
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20.4 KB
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3. Building and Deploying the All-CNN Network Part 1.mp4
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MP4
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205.6 MB
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3. Building and Deploying the All-CNN Network Part 1.srt
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SRT
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30.7 KB
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3. Building and Training the Network Part 2.mp4
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MP4
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63.3 MB
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3. Building and Training the Network Part 2.srt
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SRT
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26.9 KB
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3. Cluster Analysis.mp4
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MP4
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28 MB
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3. Cluster Analysis.srt
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SRT
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17.9 KB
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3. Credit Card Fraud Detection - The Algorithms.mp4
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MP4
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48.9 MB
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3. Credit Card Fraud Detection - The Algorithms.srt
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SRT
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24.9 KB
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3. Deploying Sklearn Classifiers.mp4
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MP4
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204.2 MB
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3. Deploying Sklearn Classifiers.srt
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SRT
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32.3 KB
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3. Design and Analysis of ML Experiments.mp4
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MP4
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19.8 MB
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3. Design and Analysis of ML Experiments.srt
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SRT
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14.5 KB
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3. Evaluation and Visualization.mp4
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MP4
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209.5 MB
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3. Evaluation and Visualization.srt
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SRT
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34.8 KB
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3. Image Super Resolution using Deep Learning.mp4
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MP4
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357.6 MB
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3. Image Super Resolution using Deep Learning.srt
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SRT
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55.1 KB
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3. Linear Methods for Regression.mp4
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MP4
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27 MB
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3. Linear Methods for Regression.srt
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SRT
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14.7 KB
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3. PCA Compression and Visualization.mp4
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MP4
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185 MB
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3. PCA Compression and Visualization.srt
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SRT
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36.1 KB
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3. Tagging, Chunking, and Named Entity Recognition.mp4
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MP4
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323.1 MB
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3. Tagging, Chunking, and Named Entity Recognition.srt
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SRT
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37.4 KB
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3. The Backpropagation Algorithm.mp4
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MP4
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22.6 MB
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3. The Backpropagation Algorithm.srt
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SRT
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16.1 KB
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3. Types and Applications of ML.mp4
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MP4
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53.1 MB
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3. Types and Applications of ML.srt
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SRT
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34.8 KB
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4. AI vs ML.mp4
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MP4
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22.9 MB
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4. AI vs ML.srt
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SRT
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12.5 KB
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4. Board Game Review Prediction - Training the Models.mp4
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MP4
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35.8 MB
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4. Board Game Review Prediction - Training the Models.srt
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SRT
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16.8 KB
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4. Building and Deploying the All-CNN Network Part 2.mp4
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MP4
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170.8 MB
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4. Building and Deploying the All-CNN Network Part 2.srt
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SRT
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25.3 KB
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4. Common Software for ML.mp4
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MP4
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31.3 MB
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4. Common Software for ML.srt
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SRT
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15.1 KB
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4. Reinforcement Learning.mp4
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MP4
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21 MB
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4. Reinforcement Learning.srt
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SRT
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22.4 KB
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4. Support Vector Machines.mp4
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MP4
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35.8 MB
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4. Support Vector Machines.srt
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SRT
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20.5 KB
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4. Text Classification.mp4
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MP4
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216.9 MB
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4. Text Classification.srt
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SRT
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29.7 KB
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4. Training Procedures.mp4
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MP4
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24 MB
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4. Training Procedures.srt
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SRT
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18.7 KB
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5. Basis Expansions.mp4
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MP4
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21.3 MB
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5. Basis Expansions.srt
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SRT
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14.1 KB
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5. Bonus! KMeans Clustering Project.mp4
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MP4
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22 MB
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5. Bonus! KMeans Clustering Project.srt
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SRT
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19.8 KB
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5. Convolutional Neural Networks.mp4
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MP4
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32 MB
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5. Convolutional Neural Networks.srt
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SRT
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21.8 KB
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5. Essential Math for ML and AI.mp4
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MP4
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35.8 MB
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5. Essential Math for ML and AI.srt
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SRT
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23.3 KB
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5. Quiz- Questions- Section 5.html
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HTML
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102.4 B
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5.1 Unit 5 Quiz.pdf.pdf
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PDF
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35.2 KB
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5.1 Unsupervised Learning.zip.zip
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ZIP
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92.5 KB
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6. Model Selection Procedures.mp4
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MP4
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26.9 MB
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6. Model Selection Procedures.srt
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SRT
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17.1 KB
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6. Quiz- Answers - Section 5.html
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HTML
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102.4 B
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6. Quiz- Questions- Section 3.html
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HTML
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102.4 B
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6. Quiz- Questions- Section1.html
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HTML
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102.4 B
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6.1 Unit 1 Quiz.pdf.pdf
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PDF
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64.5 KB
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6.1 Unit 3 Quiz.pdf.pdf
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PDF
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29.8 KB
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6.1 Unit 5 Solutions.pdf.pdf
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PDF
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47.2 KB
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7. Bonus! Supervised Learning Project in Python Part 1.mp4
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MP4
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31 MB
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7. Bonus! Supervised Learning Project in Python Part 1.srt
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SRT
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18.9 KB
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7. Quiz- Answers - Section 1.html
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HTML
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102.4 B
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7. Quiz- Answers - Section 3.html
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HTML
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102.4 B
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7.1 Supervised Learning.zip.zip
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ZIP
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167.2 KB
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7.1 Unit 1 Solutions.pdf.pdf
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PDF
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61.7 KB
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7.1 Unit 3 Solutions.pdf.pdf
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PDF
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41.3 KB
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8. Bonus! Supervised Learning Project in Python Part 2.mp4
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MP4
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36.2 MB
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8. Bonus! Supervised Learning Project in Python Part 2.srt
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SRT
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17.8 KB
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9. Quiz- Questions- Section 2.html
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HTML
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102.4 B
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9.1 Unit 2 Quiz.pdf.pdf
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PDF
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53 KB
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Course Downloaded from coursedrive.org.txt
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TXT
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512 B
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Must Read.txt
|
TXT
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512 B
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ReadMe.txt
|
TXT
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512 B
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Visit Coursedrive.org.url
|
URL
|
102.4 B
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![Udemy - Projects in Machine Learning : Beginner To Professional [Course Drive]](/static/img/no-torrent-image.png "Udemy - Projects in Machine Learning : Beginner To Professional [Course Drive]")
