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1. Intro.mp4
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MP4
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17 MB
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1. Intro.srt
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SRT
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1.7 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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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
|
MP4
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114.2 MB
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2. The Elbow Method.srt
|
SRT
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29.1 KB
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2. The Perceptron.mp4
|
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
|
SRT
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30.1 KB
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2. What is Machine Learning.mp4
|
MP4
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29.2 MB
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2. What is Machine Learning.srt
|
SRT
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15.8 KB
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3. Board Game Review Prediction - Building the Dataset Part 2.mp4
|
MP4
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35.5 MB
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3. Board Game Review Prediction - Building the Dataset Part 2.srt
|
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
|
SRT
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30.7 KB
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3. Building and Training the Network Part 2.mp4
|
MP4
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63.3 MB
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3. Building and Training the Network Part 2.srt
|
SRT
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26.9 KB
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3. Cluster Analysis.mp4
|
MP4
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28 MB
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3. Cluster Analysis.srt
|
SRT
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17.9 KB
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3. Credit Card Fraud Detection - The Algorithms.mp4
|
MP4
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48.9 MB
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3. Credit Card Fraud Detection - The Algorithms.srt
|
SRT
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24.9 KB
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3. Deploying Sklearn Classifiers.mp4
|
MP4
|
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
|
MP4
|
19.8 MB
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3. Design and Analysis of ML Experiments.srt
|
SRT
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14.5 KB
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3. Evaluation and Visualization.mp4
|
MP4
|
209.5 MB
|
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3. Evaluation and Visualization.srt
|
SRT
|
34.8 KB
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3. Image Super Resolution using Deep Learning.mp4
|
MP4
|
357.6 MB
|
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3. Image Super Resolution using Deep Learning.srt
|
SRT
|
55.1 KB
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3. Linear Methods for Regression.mp4
|
MP4
|
27 MB
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3. Linear Methods for Regression.srt
|
SRT
|
14.7 KB
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3. PCA Compression and Visualization.mp4
|
MP4
|
185 MB
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3. PCA Compression and Visualization.srt
|
SRT
|
36.1 KB
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3. Tagging, Chunking, and Named Entity Recognition.mp4
|
MP4
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323.1 MB
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3. Tagging, Chunking, and Named Entity Recognition.srt
|
SRT
|
37.4 KB
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3. The Backpropagation Algorithm.mp4
|
MP4
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22.6 MB
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3. The Backpropagation Algorithm.srt
|
SRT
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16.1 KB
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3. Types and Applications of ML.mp4
|
MP4
|
53.1 MB
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3. Types and Applications of ML.srt
|
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
|
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
|
SRT
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25.3 KB
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4. Common Software for ML.mp4
|
MP4
|
31.3 MB
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|
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4. Common Software for ML.srt
|
SRT
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15.1 KB
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4. Reinforcement Learning.mp4
|
MP4
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21 MB
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4. Reinforcement Learning.srt
|
SRT
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22.4 KB
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4. Support Vector Machines.mp4
|
MP4
|
35.8 MB
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4. Support Vector Machines.srt
|
SRT
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20.5 KB
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4. Text Classification.mp4
|
MP4
|
216.9 MB
|
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4. Text Classification.srt
|
SRT
|
29.7 KB
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4. Training Procedures.mp4
|
MP4
|
24 MB
|
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4. Training Procedures.srt
|
SRT
|
18.7 KB
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5. Basis Expansions.mp4
|
MP4
|
21.3 MB
|
|
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5. Basis Expansions.srt
|
SRT
|
14.1 KB
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5. Bonus! KMeans Clustering Project.mp4
|
MP4
|
22 MB
|
|
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5. Bonus! KMeans Clustering Project.srt
|
SRT
|
19.8 KB
|
|
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5. Convolutional Neural Networks.mp4
|
MP4
|
32 MB
|
|
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5. Convolutional Neural Networks.srt
|
SRT
|
21.8 KB
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5. Essential Math for ML and AI.mp4
|
MP4
|
35.8 MB
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5. Essential Math for ML and AI.srt
|
SRT
|
23.3 KB
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5. Quiz- Questions- Section 5.html
|
HTML
|
102.4 B
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5.1 Unit 5 Quiz.pdf.pdf
|
PDF
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35.2 KB
|
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6. Model Selection Procedures.mp4
|
MP4
|
26.9 MB
|
|
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6. Model Selection Procedures.srt
|
SRT
|
17.1 KB
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6. Quiz- Answers - Section 5.html
|
HTML
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102.4 B
|
|
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6. Quiz- Questions- Section 3.html
|
HTML
|
102.4 B
|
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6. Quiz- Questions- Section1.html
|
HTML
|
102.4 B
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6.1 Unit 1 Quiz.pdf.pdf
|
PDF
|
64.5 KB
|
|
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6.1 Unit 3 Quiz.pdf.pdf
|
PDF
|
29.8 KB
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|
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6.1 Unit 5 Solutions.pdf.pdf
|
PDF
|
47.2 KB
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7. Bonus! Supervised Learning Project in Python Part 1.mp4
|
MP4
|
31 MB
|
|
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7. Bonus! Supervised Learning Project in Python Part 1.srt
|
SRT
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18.9 KB
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7. Quiz- Answers - Section 1.html
|
HTML
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102.4 B
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7. Quiz- Answers - Section 3.html
|
HTML
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102.4 B
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7.1 Unit 1 Solutions.pdf.pdf
|
PDF
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61.7 KB
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7.1 Unit 3 Solutions.pdf.pdf
|
PDF
|
41.3 KB
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8. Bonus! Supervised Learning Project in Python Part 2.mp4
|
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
|
HTML
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102.4 B
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9.1 Unit 2 Quiz.pdf.pdf
|
PDF
|
53 KB
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Board Game Review Prediction (HTML).html
|
HTML
|
318.9 KB
|
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Board Game Review Prediction (Jupyter Notebook).ipynb
|
IPYNB
|
67.5 KB
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Credit Card Fraud Detection (HTML).html
|
HTML
|
399 KB
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Credit Card Fraud Detection (Jupyter Notebook).ipynb
|
IPYNB
|
145 KB
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Discuss.FreeTutorials.Us.html
|
HTML
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165.7 KB
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Final Project (HTML).html
|
HTML
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289.2 KB
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Final Project (Jupyter Notebook).ipynb
|
IPYNB
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15.4 KB
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FreeCoursesOnline.Me.html
|
HTML
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108.3 KB
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FreeTutorials.Eu.html
|
HTML
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102.2 KB
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Image Super Resolution with the SRCNN (HTML Notebook).html
|
HTML
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967.4 KB
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Image Super Resolution with the SRCNN (Jupyter Notebook).ipynb
|
IPYNB
|
701.2 KB
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KMeans Clustering for Imagery Analysis (HTML).html
|
HTML
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386.2 KB
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KMeans Clustering for Imagery Analysis (Jupyter Notebook).ipynb
|
IPYNB
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122.7 KB
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NLP for Text Classification (HTML).html
|
HTML
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293.9 KB
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NLP for Text Classification (Jupyter Notebook).ipynb
|
IPYNB
|
26.9 KB
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Object Recognition (HTML Notebook).html
|
HTML
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398.6 KB
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Object Recognition (Jupyter Notebook).ipynb
|
IPYNB
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132.3 KB
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PCA Compression and Visualization (HTML).html
|
HTML
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394.1 KB
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PCA Compression and Visualization (Jupyter Notebook).ipynb
|
IPYNB
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132.1 KB
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Presented By SaM.txt
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TXT
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0 B
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Torrent Downloaded From GloDls.to.txt
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TXT
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102.4 B
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Unit 2 Project - Supervised Learning in Python (HTML Document).html
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HTML
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347.1 KB
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Unit 2 Project - Supervised Learning in Python (Jupyter Notebook).ipynb
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IPYNB
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92.8 KB
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Unit 3 Project - KMeans Clustering (HTML).html
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HTML
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290.4 KB
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Unit 3 Project - KMeans Clustering (Jupyter Notebook).ipynb
|
IPYNB
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39.2 KB
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[TGx]Downloaded from torrentgalaxy.org.txt
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TXT
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512 B
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baboon.png
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PNG
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789.3 KB
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baby_GT.png
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PNG
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574 KB
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barbara.png
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PNG
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629.5 KB
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bird_GT.png
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PNG
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421.8 KB
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butterfly_GT.png
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PNG
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440.9 KB
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coastguard.png
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PNG
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402.7 KB
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comic.png
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PNG
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617.9 KB
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face.png
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PNG
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380.3 KB
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flowers.png
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PNG
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515 KB
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foreman.png
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PNG
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372.8 KB
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head_GT.png
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PNG
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385.3 KB
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lenna.png
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PNG
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598.3 KB
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monarch.png
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PNG
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459.7 KB
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pepper.png
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PNG
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654 KB
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ppt3.png
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PNG
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432.8 KB
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woman_GT.png
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PNG
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415.7 KB
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zebra.png
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PNG
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531.3 KB
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![[UDEMY] Projects in Machine Learning Beginner To Professional - FTU]](/static/img/no-torrent-image.png "[UDEMY] Projects in Machine Learning Beginner To Professional - FTU]")
