Torrent Info
Title Machine Learning & Deep Learning Projects for Beginners 2023
Category
Size 7.96GB

Files List
Please note that this page does not hosts or makes available any of the listed filenames. You cannot download any of those files from here.
[TGx]Downloaded from torrentgalaxy.to .txt 585B
0 546.08KB
1 660.58KB
10 627.91KB
100 744.37KB
100 - Google Stock Price Prediction with RNN and LSTM Step 1.mp4 117.14MB
101 731.33KB
101 - Google Stock Price Prediction with RNN and LSTM Step 2.mp4 58.11MB
102 453.91KB
102 - Google Stock Price Prediction with RNN and LSTM Step 3.mp4 85.32MB
103 594.46KB
103 - Google Stock Price Prediction with RNN and LSTM Step 4.mp4 120.31MB
104 339.58KB
104 - Google Stock Price Prediction with RNN and LSTM Step 5.mp4 23.47MB
105 807.40KB
105 - Cats and Dogs Classification Step 1.mp4 81.56MB
106 651.89KB
106 - Cats and Dogs Classification Step 2.mp4 61.50MB
107 - Cats and Dogs Classification Step 3.mp4 81.46MB
108 - Cats and Dogs Classification Step 4.mp4 50.56MB
109 - Movie Review Classifivation with NLTK Step 1.mp4 134.81MB
10 - Predicting a Single Observation.mp4 34.24MB
11 971.80KB
110 - Movie Review Classifivation with NLTK Step 2.mp4 145.77MB
11 - Business Problem.mp4 33.34MB
12 208.69KB
12 - Data Preprocessing part 1.mp4 125.90MB
13 105.09KB
13 - Data Preprocessing part 2.mp4 104.54MB
14 708.24KB
14 - Logistic Regression.mp4 88.78MB
15 883.70KB
15 - Random Forest Classifier.mp4 47.15MB
16 812.29KB
16 - XGBoost Classifier.mp4 38.71MB
17 978.86KB
17 - Hyperparameter Tuning using Randomized Search.mp4 153.63MB
18 202.23KB
18 - Predicting a Single Observation.mp4 27.47MB
19 568.97KB
19 - Business Problem.mp4 19.27MB
1 - Course Overview.mp4 9.36MB
2 13.78KB
20 10.54KB
20 - Data Preprocessing Part 1.mp4 76.98MB
21 466.85KB
21 - Data Preprocessing Part 2.mp4 105.99MB
22 471.83KB
22 - Building and Finalizing the model.mp4 83.97MB
23 993.41KB
23 - Predicting a single observation.mp4 37.82MB
24 15.45KB
24 - Business Problem.mp4 31.53MB
25 594.75KB
25 - Data Preprocessing Part 1.mp4 159.17MB
26 259.39KB
26 - Data Preprocessing Part 2.mp4 143.31MB
27 272.62KB
27 - Building and Finalizing the model.mp4 92.45MB
28 546.30KB
28 - Hyperparameter Tuning using Randomized Search.mp4 111.04MB
29 783.98KB
29 - Business Problem.mp4 30.41MB
2 - Important Udemy Review Update.mp4 8.39MB
3 849.89KB
30 383.12KB
30 - Data Preprocessing Part 1.mp4 82.11MB
31 562.71KB
31 - Data Preprocessing Part 2.mp4 107.44MB
32 224.57KB
32 - Building and Finalizing the model.mp4 92.63MB
33 148.46KB
33 - Hyperparameter Tuning using Randomized Search.mp4 89.38MB
34 575.52KB
34 - Predicting a single observation.mp4 20.21MB
35 639.77KB
35 - Business Problem.mp4 31.10MB
36 2.46KB
36 - Data Preprocessing Part 1.mp4 47.74MB
37 220.59KB
37 - Data Preprocessing Part 2.mp4 113.21MB
38 127.21KB
38 - Building and Finalizing the model.mp4 91.78MB
39 148.31KB
39 - Predicting a single observation.mp4 25.17MB
3 - Colab Notebooks.html 273B
4 382.65KB
40 444.10KB
40 - Business Problem.mp4 25.42MB
41 468.66KB
41 - Data Preprocessing Part 1.mp4 89.00MB
42 699.00KB
42 - Data Preprocessing Part 2.mp4 96.23MB
43 626.46KB
43 - Building and Finalizing the model.mp4 87.88MB
44 25.80KB
44 - Hyperparameter Tuning using Randomized Search.mp4 102.03MB
45 636.59KB
45 - Predicting a single observation.mp4 13.67MB
46 910.56KB
46 - Business Problem.mp4 27.63MB
47 447.00KB
47 - Data Preprocessing.mp4 100.75MB
48 553.62KB
48 - Building the model and predicting results.mp4 96.47MB
49 911.32KB
49 - Business Problem.mp4 18.29MB
4 - Business Problem.mp4 46.22MB
5 732.11KB
50 377.83KB
50 - Data Preprocessing Part 1.mp4 75.22MB
51 23.87KB
51 - Data Preprocessing Part 2.mp4 68.20MB
52 801.59KB
52 - Building and finalizing the Model.mp4 62.83MB
53 99.96KB
53 - HyperParameter tuning and predicting the results.mp4 101.42MB
54 1021.34KB
54 - Business Problem.mp4 14.42MB
55 738.98KB
55 - Data Preprocessing Part 1.mp4 86.57MB
56 819.27KB
56 - Data Preprocessing Part 2.mp4 42.43MB
57 884.00KB
57 - Data Preprocessing Part 3.mp4 35.16MB
58 613.97KB
58 - Building and Finalizing the Model.mp4 54.92MB
59 542.36KB
59 - Step 1 Installation and Setup.mp4 33.04MB
5 - Data Preprocessing Part 1.mp4 133.05MB
6 236.49KB
60 888.68KB
60 - Step 2 Data Preprocessing.mp4 143.43MB
61 600.98KB
61 - Imp Lecture dont skip.html 2.71KB
62 173.84KB
62 - Step 3 Building the Model.mp4 78.63MB
63 195.14KB
63 - Step 4 Training the Model.mp4 69.90MB
64 935.10KB
64 - Step 5 Model evaluation and performance.mp4 80.11MB
65 509.91KB
65 - Binary Data Classification Step 1.mp4 22.33MB
66 228.07KB
66 - Binary Data Classification Step 2.mp4 171.35MB
67 449.99KB
67 - Binary Data Classification Step 3.mp4 67.40MB
68 911.47KB
68 - Binary Data Classification Step 4.mp4 20.44MB
69 248.04KB
69 - Binary Data Classification Step 5.mp4 56.77MB
6 - Data Preprocessing Part 2.mp4 182.46MB
7 587.24KB
70 539.61KB
70 - Object Recognition in Images Step 1.mp4 11.21MB
71 904.88KB
71 - Object Recognition in Images Step 2.mp4 59.56MB
72 230.94KB
72 - Object Recognition in Images Step 3.mp4 134.39MB
73 84.69KB
73 - Object Recognition in Images Step 4.mp4 41.03MB
74 509.17KB
74 - Object Recognition in Images Step 5.mp4 50.82MB
75 286.94KB
75 - Binary Image Classification Step 1.mp4 17.56MB
76 189.30KB
76 - Binary Image Classification Step 2.mp4 85.54MB
77 453.63KB
77 - Binary Image Classification Step 3.mp4 101.98MB
78 269.08KB
78 - Binary Image Classification Step 4.mp4 87.86MB
79 874.51KB
79 - Binary Image Classification Step 5.mp4 54.50MB
7 - Logistic Regression.mp4 130.80MB
8 707.17KB
80 795.27KB
80 - Digit Recognition with CNN Step 1.mp4 68.14MB
81 588.73KB
81 - Digit Recognition with CNN Step 2.mp4 68.28MB
82 988.35KB
82 - Digit Recognition with CNN Step 3.mp4 66.13MB
83 300.48KB
83 - Breast Cancer Detection with CNN Step 1.mp4 102.54MB
84 181.40KB
84 - Breast Cancer Detection with CNN Step 2.mp4 57.76MB
85 859.81KB
85 - Breast Cancer Detection with CNN Step 3.mp4 53.72MB
86 782.21KB
86 - Predicting the Bank Customer Satisfaction Step 1.mp4 84.39MB
87 671.64KB
87 - Predicting the Bank Customer Satisfaction Step 2.mp4 151.29MB
88 979.57KB
88 - Predicting the Bank Customer Satisfaction Step 3.mp4 90.86MB
89 479.72KB
89 - Predicting the Bank Customer Satisfaction Step 4.mp4 63.41MB
8 - Random Forest Classifier.mp4 60.78MB
9 197.52KB
90 920.36KB
90 - Credit Card Fraud Detection with CNN Step 1.mp4 90.44MB
91 607.25KB
91 - Credit Card Fraud Detection with CNN Step 2.mp4 107.80MB
92 379.57KB
92 - Credit Card Fraud Detection with CNN Step 3.mp4 96.73MB
93 543.78KB
93 - Credit Card Fraud Detection with CNN Step 4.mp4 62.81MB
94 593.83KB
94 - IMDB Review Classification with RNN LSTM Step 1.mp4 62.09MB
95 850.49KB
95 - IMDB Review Classification with RNN LSTM Step 2.mp4 57.47MB
96 545.10KB
96 - IMDB Review Classification with RNN LSTM Step 3.mp4 66.47MB
97 685.25KB
97 - Multiclass Image Classification with RNN LSTM Step 1.mp4 57.12MB
98 574.60KB
98 - Multiclass Image Classification with RNN LSTM Step 2.mp4 83.38MB
99 808.36KB
99 - Multiclass Image Classification with RNN LSTM Step 3.mp4 69.00MB
9 - Hyperparameter Tuning using Randomized search.mp4 170.99MB
TutsNode.net.txt 63B