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[DesireCourse.Net] Udemy - Machine Learning, Data Science and Deep Learning with Python
大小 7.7 GB
文件数 224
Info Hash: 368E6AF103BCD0D165EA82156B8B289AAC962D2E
收录时间 2026-02-08 23:54:45
更新时间 2026-02-08 23:54:45
文件列表 (224)
1. Getting Started/1. Introduction.mp4
59.6 MB
1. Getting Started/1. Introduction.srt
4.75 KB
1. Getting Started/10. [Activity] Python Basics, Part 4 [Optional].mp4
21.12 MB
1. Getting Started/10. [Activity] Python Basics, Part 4 [Optional].srt
6 KB
1. Getting Started/11. Introducing the Pandas Library [Optional].mp4
123.1 MB
1. Getting Started/11. Introducing the Pandas Library [Optional].srt
18.05 KB
1. Getting Started/2. Udemy 101 Getting the Most From This Course.mp4
19.78 MB
1. Getting Started/2. Udemy 101 Getting the Most From This Course.srt
4.04 KB
1. Getting Started/3. Installation Getting Started.html
265 B
1. Getting Started/4. [Activity] WINDOWS Installing and Using Anaconda & Course Materials.mp4
102.76 MB
1. Getting Started/4. [Activity] WINDOWS Installing and Using Anaconda & Course Materials.srt
18.88 KB
1. Getting Started/5. [Activity] MAC Installing and Using Anaconda & Course Materials.mp4
96.53 MB
1. Getting Started/5. [Activity] MAC Installing and Using Anaconda & Course Materials.srt
14.48 KB
1. Getting Started/6. [Activity] LINUX Installing and Using Anaconda & Course Materials.mp4
80.21 MB
1. Getting Started/6. [Activity] LINUX Installing and Using Anaconda & Course Materials.srt
14.66 KB
1. Getting Started/7. Python Basics, Part 1 [Optional].mp4
32.98 MB
1. Getting Started/7. Python Basics, Part 1 [Optional].srt
7.76 KB
1. Getting Started/8. [Activity] Python Basics, Part 2 [Optional].mp4
20.64 MB
1. Getting Started/8. [Activity] Python Basics, Part 2 [Optional].srt
7.63 KB
1. Getting Started/9. [Activity] Python Basics, Part 3 [Optional].mp4
10.08 MB
1. Getting Started/9. [Activity] Python Basics, Part 3 [Optional].srt
4.24 KB
10. Deep Learning and Neural Networks/1. Deep Learning Pre-Requisites.mp4
74.17 MB
10. Deep Learning and Neural Networks/1. Deep Learning Pre-Requisites.srt
21.52 KB
10. Deep Learning and Neural Networks/10. [Activity] Using Keras to Predict Political Affiliations.mp4
88.19 MB
10. Deep Learning and Neural Networks/10. [Activity] Using Keras to Predict Political Affiliations.srt
21.14 KB
10. Deep Learning and Neural Networks/11. Convolutional Neural Networks (CNN's).mp4
93.09 MB
10. Deep Learning and Neural Networks/11. Convolutional Neural Networks (CNN's).srt
19.86 KB
10. Deep Learning and Neural Networks/12. [Activity] Using CNN's for handwriting recognition.mp4
69.56 MB
10. Deep Learning and Neural Networks/12. [Activity] Using CNN's for handwriting recognition.srt
13.76 KB
10. Deep Learning and Neural Networks/13. Recurrent Neural Networks (RNN's).mp4
69.17 MB
10. Deep Learning and Neural Networks/13. Recurrent Neural Networks (RNN's).srt
18.48 KB
10. Deep Learning and Neural Networks/14. [Activity] Using a RNN for sentiment analysis.mp4
81.36 MB
10. Deep Learning and Neural Networks/14. [Activity] Using a RNN for sentiment analysis.srt
16.82 KB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4
115.26 MB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.srt
21.53 KB
10. Deep Learning and Neural Networks/16. Tuning Neural Networks Learning Rate and Batch Size Hyperparameters.mp4
18.43 MB
10. Deep Learning and Neural Networks/16. Tuning Neural Networks Learning Rate and Batch Size Hyperparameters.srt
8.29 KB
10. Deep Learning and Neural Networks/17. Deep Learning Regularization with Dropout and Early Stopping.mp4
33.63 MB
10. Deep Learning and Neural Networks/17. Deep Learning Regularization with Dropout and Early Stopping.srt
11.97 KB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4
128.24 MB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.srt
19.84 KB
10. Deep Learning and Neural Networks/19. Learning More about Deep Learning.mp4
38.64 MB
10. Deep Learning and Neural Networks/19. Learning More about Deep Learning.srt
3.14 KB
10. Deep Learning and Neural Networks/2. The History of Artificial Neural Networks.mp4
79.98 MB
10. Deep Learning and Neural Networks/2. The History of Artificial Neural Networks.srt
19.07 KB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4
141.58 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.srt
19.67 KB
10. Deep Learning and Neural Networks/4. Deep Learning Details.mp4
64.21 MB
10. Deep Learning and Neural Networks/4. Deep Learning Details.srt
16.81 KB
10. Deep Learning and Neural Networks/5. Introducing Tensorflow.mp4
64.15 MB
10. Deep Learning and Neural Networks/5. Introducing Tensorflow.srt
19.77 KB
10. Deep Learning and Neural Networks/6. Important note about Tensorflow 2.html
644 B
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4
118.22 MB
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.srt
23.06 KB
10. Deep Learning and Neural Networks/8. [Activity] Using Tensorflow, Part 2.mp4
104.54 MB
10. Deep Learning and Neural Networks/8. [Activity] Using Tensorflow, Part 2.srt
21.24 KB
10. Deep Learning and Neural Networks/9. [Activity] Introducing Keras.mp4
92.05 MB
10. Deep Learning and Neural Networks/9. [Activity] Introducing Keras.srt
23.75 KB
11. Final Project/1. Your final project assignment.mp4
51.63 MB
11. Final Project/1. Your final project assignment.srt
11.56 KB
11. Final Project/2. Final project review.mp4
98.5 MB
11. Final Project/2. Final project review.srt
24.51 KB
12. You made it!/1. More to Explore.mp4
64.06 MB
12. You made it!/1. More to Explore.srt
7.24 KB
12. You made it!/2. Don't Forget to Leave a Rating!.html
564 B
12. You made it!/3. Bonus Lecture More courses to explore!.html
7.35 KB
2. Statistics and Probability Refresher, and Python Practice/1. Types of Data.mp4
77.24 MB
2. Statistics and Probability Refresher, and Python Practice/1. Types of Data.srt
16.24 KB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4
116.74 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.srt
25.91 KB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4
125.14 MB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.srt
28.41 KB
2. Statistics and Probability Refresher, and Python Practice/12. Exercise Solution Conditional Probability of Purchase by Age.mp4
22 MB
2. Statistics and Probability Refresher, and Python Practice/12. Exercise Solution Conditional Probability of Purchase by Age.srt
3.99 KB
2. Statistics and Probability Refresher, and Python Practice/13. Bayes' Theorem.mp4
58.9 MB
2. Statistics and Probability Refresher, and Python Practice/13. Bayes' Theorem.srt
11.49 KB
2. Statistics and Probability Refresher, and Python Practice/2. Mean, Median, Mode.mp4
56.15 MB
2. Statistics and Probability Refresher, and Python Practice/2. Mean, Median, Mode.srt
12.95 KB
2. Statistics and Probability Refresher, and Python Practice/3. [Activity] Using mean, median, and mode in Python.mp4
61.93 MB
2. Statistics and Probability Refresher, and Python Practice/3. [Activity] Using mean, median, and mode in Python.srt
15.01 KB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4
110.85 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.srt
25.83 KB
2. Statistics and Probability Refresher, and Python Practice/5. Probability Density Function; Probability Mass Function.mp4
30.07 MB
2. Statistics and Probability Refresher, and Python Practice/5. Probability Density Function; Probability Mass Function.srt
7.59 KB
2. Statistics and Probability Refresher, and Python Practice/6. Common Data Distributions.mp4
75.36 MB
2. Statistics and Probability Refresher, and Python Practice/6. Common Data Distributions.srt
16.08 KB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4
114.04 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.srt
28.33 KB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4
129.35 MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.srt
28.57 KB
2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4
147.81 MB
2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.srt
29.96 KB
3. Predictive Models/1. [Activity] Linear Regression.mp4
100.46 MB
3. Predictive Models/1. [Activity] Linear Regression.srt
25.7 KB
3. Predictive Models/2. [Activity] Polynomial Regression.mp4
66.77 MB
3. Predictive Models/2. [Activity] Polynomial Regression.srt
17.59 KB
3. Predictive Models/3. [Activity] Multiple Regression, and Predicting Car Prices.mp4
73.85 MB
3. Predictive Models/3. [Activity] Multiple Regression, and Predicting Car Prices.srt
21.13 KB
3. Predictive Models/4. Multi-Level Models.mp4
47.46 MB
3. Predictive Models/4. Multi-Level Models.srt
10.66 KB
4. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.mp4
98.61 MB
4. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.srt
20.9 KB
4. Machine Learning with Python/10. [Activity] LINUX Installing Graphviz.mp4
7.04 MB
4. Machine Learning with Python/10. [Activity] LINUX Installing Graphviz.srt
1.11 KB
4. Machine Learning with Python/11. Decision Trees Concepts.mp4
86.53 MB
4. Machine Learning with Python/11. Decision Trees Concepts.srt
21.1 KB
4. Machine Learning with Python/12. [Activity] Decision Trees Predicting Hiring Decisions.mp4
95.95 MB
4. Machine Learning with Python/12. [Activity] Decision Trees Predicting Hiring Decisions.srt
22.45 KB
4. Machine Learning with Python/13. Ensemble Learning.mp4
65.21 MB
4. Machine Learning with Python/13. Ensemble Learning.srt
14.55 KB
4. Machine Learning with Python/14. [Activity] XGBoost.mp4
102.08 MB
4. Machine Learning with Python/14. [Activity] XGBoost.srt
28.68 KB
4. Machine Learning with Python/15. Support Vector Machines (SVM) Overview.mp4
44.74 MB
4. Machine Learning with Python/15. Support Vector Machines (SVM) Overview.srt
9.88 KB
4. Machine Learning with Python/16. [Activity] Using SVM to cluster people using scikit-learn.mp4
46.7 MB
4. Machine Learning with Python/16. [Activity] Using SVM to cluster people using scikit-learn.srt
16.61 KB
4. Machine Learning with Python/2. [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4
58.14 MB
4. Machine Learning with Python/2. [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.srt
13.11 KB
4. Machine Learning with Python/3. Bayesian Methods Concepts.mp4
40.72 MB
4. Machine Learning with Python/3. Bayesian Methods Concepts.srt
8.83 KB
4. Machine Learning with Python/4. [Activity] Implementing a Spam Classifier with Naive Bayes.mp4
89.08 MB
4. Machine Learning with Python/4. [Activity] Implementing a Spam Classifier with Naive Bayes.srt
17.42 KB
4. Machine Learning with Python/5. K-Means Clustering.mp4
71.94 MB
4. Machine Learning with Python/5. K-Means Clustering.srt
17.2 KB
4. Machine Learning with Python/6. [Activity] Clustering people based on income and age.mp4
57.29 MB
4. Machine Learning with Python/6. [Activity] Clustering people based on income and age.srt
11.55 KB
4. Machine Learning with Python/7. Measuring Entropy.mp4
34.97 MB
4. Machine Learning with Python/7. Measuring Entropy.srt
6.9 KB
4. Machine Learning with Python/8. [Activity] WINDOWS Installing Graphviz.mp4
2.06 MB
4. Machine Learning with Python/8. [Activity] WINDOWS Installing Graphviz.srt
689 B
4. Machine Learning with Python/9. [Activity] MAC Installing Graphviz.mp4
14.83 MB
4. Machine Learning with Python/9. [Activity] MAC Installing Graphviz.srt
1.26 KB
5. Recommender Systems/1. User-Based Collaborative Filtering.mp4
86.37 MB
5. Recommender Systems/1. User-Based Collaborative Filtering.srt
19.38 KB
5. Recommender Systems/2. Item-Based Collaborative Filtering.mp4
75 MB
5. Recommender Systems/2. Item-Based Collaborative Filtering.srt
19.99 KB
5. Recommender Systems/3. [Activity] Finding Movie Similarities.mp4
107.83 MB
5. Recommender Systems/3. [Activity] Finding Movie Similarities.srt
20.08 KB
5. Recommender Systems/4. [Activity] Improving the Results of Movie Similarities.mp4
94.86 MB
5. Recommender Systems/4. [Activity] Improving the Results of Movie Similarities.srt
16.78 KB
5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4
132.55 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.srt
22.61 KB
5. Recommender Systems/6. [Exercise] Improve the recommender's results.mp4
84.23 MB
5. Recommender Systems/6. [Exercise] Improve the recommender's results.srt
13.2 KB
6. More Data Mining and Machine Learning Techniques/1. K-Nearest-Neighbors Concepts.mp4
40.28 MB
6. More Data Mining and Machine Learning Techniques/1. K-Nearest-Neighbors Concepts.srt
8.95 KB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4
142.06 MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.srt
28.48 KB
6. More Data Mining and Machine Learning Techniques/3. Dimensionality Reduction; Principal Component Analysis.mp4
67.74 MB
6. More Data Mining and Machine Learning Techniques/3. Dimensionality Reduction; Principal Component Analysis.srt
12.32 KB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4
109.73 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.srt
21.2 KB
6. More Data Mining and Machine Learning Techniques/5. Data Warehousing Overview ETL and ELT.mp4
103.33 MB
6. More Data Mining and Machine Learning Techniques/5. Data Warehousing Overview ETL and ELT.srt
19.74 KB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4
132.26 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.srt
28.5 KB
6. More Data Mining and Machine Learning Techniques/6.1 Pac-Man Example.html
145 B
6. More Data Mining and Machine Learning Techniques/6.2 Cat and Mouse Example.html
140 B
6. More Data Mining and Machine Learning Techniques/6.3 Python Markov Decision Process Toolbox.html
119 B
6. More Data Mining and Machine Learning Techniques/7. [Activity] Reinforcement Learning & Q-Learning with Gym.mp4
77.96 MB
6. More Data Mining and Machine Learning Techniques/7. [Activity] Reinforcement Learning & Q-Learning with Gym.srt
22.49 KB
6. More Data Mining and Machine Learning Techniques/8. Understanding a Confusion Matrix.mp4
14.83 MB
6. More Data Mining and Machine Learning Techniques/8. Understanding a Confusion Matrix.srt
9.71 KB
6. More Data Mining and Machine Learning Techniques/9. Measuring Classifiers (Precision, Recall, F1, ROC, AUC).mp4
25.79 MB
6. More Data Mining and Machine Learning Techniques/9. Measuring Classifiers (Precision, Recall, F1, ROC, AUC).srt
10.82 KB
7. Dealing with Real-World Data/1. BiasVariance Tradeoff.mp4
66.31 MB
7. Dealing with Real-World Data/1. BiasVariance Tradeoff.srt
14.4 KB
7. Dealing with Real-World Data/10. Binning, Transforming, Encoding, Scaling, and Shuffling.mp4
47.91 MB
7. Dealing with Real-World Data/10. Binning, Transforming, Encoding, Scaling, and Shuffling.srt
14.21 KB
7. Dealing with Real-World Data/2. [Activity] K-Fold Cross-Validation to avoid overfitting.mp4
102.34 MB
7. Dealing with Real-World Data/2. [Activity] K-Fold Cross-Validation to avoid overfitting.srt
24.54 KB
7. Dealing with Real-World Data/3. Data Cleaning and Normalization.mp4
78.75 MB
7. Dealing with Real-World Data/3. Data Cleaning and Normalization.srt
17.08 KB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4
129.38 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.srt
23.78 KB
7. Dealing with Real-World Data/5. Normalizing numerical data.mp4
38.2 MB
7. Dealing with Real-World Data/5. Normalizing numerical data.srt
7.65 KB
7. Dealing with Real-World Data/6. [Activity] Detecting outliers.mp4
36.32 MB
7. Dealing with Real-World Data/6. [Activity] Detecting outliers.srt
11.44 KB
7. Dealing with Real-World Data/7. Feature Engineering and the Curse of Dimensionality.mp4
41.71 MB
7. Dealing with Real-World Data/7. Feature Engineering and the Curse of Dimensionality.srt
11.83 KB
7. Dealing with Real-World Data/8. Imputation Techniques for Missing Data.mp4
49.02 MB
7. Dealing with Real-World Data/8. Imputation Techniques for Missing Data.srt
14.31 KB
7. Dealing with Real-World Data/9. Handling Unbalanced Data Oversampling, Undersampling, and SMOTE.mp4
36.34 MB
7. Dealing with Real-World Data/9. Handling Unbalanced Data Oversampling, Undersampling, and SMOTE.srt
9.88 KB
8. Apache Spark Machine Learning on Big Data/1. Warning about Java 11 and Spark 3!.html
602 B
8. Apache Spark Machine Learning on Big Data/10. TF IDF.mp4
68.85 MB
8. Apache Spark Machine Learning on Big Data/10. TF IDF.srt
14.03 KB
8. Apache Spark Machine Learning on Big Data/11. [Activity] Searching Wikipedia with Spark.mp4
102.99 MB
8. Apache Spark Machine Learning on Big Data/11. [Activity] Searching Wikipedia with Spark.srt
12.85 KB
8. Apache Spark Machine Learning on Big Data/12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4
105.67 MB
8. Apache Spark Machine Learning on Big Data/12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.srt
13.91 KB
8. Apache Spark Machine Learning on Big Data/2. Spark installation notes for MacOS and Linux users.html
3.57 KB
8. Apache Spark Machine Learning on Big Data/3. [Activity] Installing Spark - Part 1.mp4
83.63 MB
8. Apache Spark Machine Learning on Big Data/3. [Activity] Installing Spark - Part 1.srt
12.04 KB
8. Apache Spark Machine Learning on Big Data/3.1 winutils.exe.html
108 B
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4
111.98 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.srt
10.59 KB
8. Apache Spark Machine Learning on Big Data/4.1 winutils.exe.html
108 B
8. Apache Spark Machine Learning on Big Data/5. Spark Introduction.mp4
89.86 MB
8. Apache Spark Machine Learning on Big Data/5. Spark Introduction.srt
21.21 KB
8. Apache Spark Machine Learning on Big Data/6. Spark and the Resilient Distributed Dataset (RDD).mp4
98.51 MB
8. Apache Spark Machine Learning on Big Data/6. Spark and the Resilient Distributed Dataset (RDD).srt
24.41 KB
8. Apache Spark Machine Learning on Big Data/7. Introducing MLLib.mp4
54.74 MB
8. Apache Spark Machine Learning on Big Data/7. Introducing MLLib.srt
11.46 KB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4
134.01 MB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.srt
28.1 KB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4
117.86 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.srt
17.73 KB
9. Experimental Design ML in the Real World/1. Deploying Models to Real-Time Systems.mp4
33.04 MB
9. Experimental Design ML in the Real World/1. Deploying Models to Real-Time Systems.srt
15.42 KB
9. Experimental Design ML in the Real World/2. AB Testing Concepts.mp4
97.48 MB
9. Experimental Design ML in the Real World/2. AB Testing Concepts.srt
20.18 KB
9. Experimental Design ML in the Real World/3. T-Tests and P-Values.mp4
64.91 MB
9. Experimental Design ML in the Real World/3. T-Tests and P-Values.srt
13.16 KB
9. Experimental Design ML in the Real World/4. [Activity] Hands-on With T-Tests.mp4
81.62 MB
9. Experimental Design ML in the Real World/4. [Activity] Hands-on With T-Tests.srt
13.68 KB
9. Experimental Design ML in the Real World/5. Determining How Long to Run an Experiment.mp4
34.84 MB
9. Experimental Design ML in the Real World/5. Determining How Long to Run an Experiment.srt
8.34 KB
9. Experimental Design ML in the Real World/6. AB Test Gotchas.mp4
96.1 MB
9. Experimental Design ML in the Real World/6. AB Test Gotchas.srt
21.88 KB
[CourseClub.Me].url
48 B
[DesireCourse.Net].url
51 B
[FreeCourseWorld.Com].url
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