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[DesireCourse.Net] Udemy - Machine Learning, Data Science And Deep Learning With Python
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2020-1-20 06:30
2024-12-22 05:23
163
7.58 GB
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相关链接
DesireCourse
Net
Udemy
-
Machine
Learning
Data
Science
And
Deep
Learning
With
Python
文件列表
1. Getting Started/1. Introduction.mp4
59.6MB
1. Getting Started/10. [Activity] Python Basics, Part 4 [Optional].mp4
21.12MB
1. Getting Started/11. Introducing the Pandas Library [Optional].mp4
123.1MB
1. Getting Started/2. Udemy 101 Getting the Most From This Course.mp4
19.77MB
1. Getting Started/4. [Activity] WINDOWS Installing and Using Anaconda & Course Materials.mp4
102.76MB
1. Getting Started/5. [Activity] MAC Installing and Using Anaconda & Course Materials.mp4
96.53MB
1. Getting Started/6. [Activity] LINUX Installing and Using Anaconda & Course Materials.mp4
80.21MB
1. Getting Started/7. Python Basics, Part 1 [Optional].mp4
32.98MB
1. Getting Started/8. [Activity] Python Basics, Part 2 [Optional].mp4
20.63MB
1. Getting Started/9. [Activity] Python Basics, Part 3 [Optional].mp4
10.09MB
10. Deep Learning and Neural Networks/1. Deep Learning Pre-Requisites.mp4
74.17MB
10. Deep Learning and Neural Networks/10. [Activity] Using Keras to Predict Political Affiliations.mp4
88.2MB
10. Deep Learning and Neural Networks/11. Convolutional Neural Networks (CNN's).mp4
93.09MB
10. Deep Learning and Neural Networks/12. [Activity] Using CNN's for handwriting recognition.mp4
69.56MB
10. Deep Learning and Neural Networks/13. Recurrent Neural Networks (RNN's).mp4
69.17MB
10. Deep Learning and Neural Networks/14. [Activity] Using a RNN for sentiment analysis.mp4
81.36MB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4
115.26MB
10. Deep Learning and Neural Networks/16. Tuning Neural Networks Learning Rate and Batch Size Hyperparameters.mp4
18.43MB
10. Deep Learning and Neural Networks/17. Deep Learning Regularization with Dropout and Early Stopping.mp4
33.64MB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4
128.24MB
10. Deep Learning and Neural Networks/19. Learning More about Deep Learning.mp4
38.64MB
10. Deep Learning and Neural Networks/2. The History of Artificial Neural Networks.mp4
79.98MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4
141.58MB
10. Deep Learning and Neural Networks/4. Deep Learning Details.mp4
64.22MB
10. Deep Learning and Neural Networks/5. Introducing Tensorflow.mp4
86.27MB
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4
72.69MB
10. Deep Learning and Neural Networks/8. [Activity] Using Tensorflow, Part 2.mp4
108.64MB
10. Deep Learning and Neural Networks/9. [Activity] Introducing Keras.mp4
92.05MB
11. Final Project/1. Your final project assignment.mp4
51.63MB
11. Final Project/2. Final project review.mp4
98.5MB
12. You made it!/1. More to Explore.mp4
64.06MB
2. Statistics and Probability Refresher, and Python Practice/1. Types of Data.mp4
77.25MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4
116.74MB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4
125.14MB
2. Statistics and Probability Refresher, and Python Practice/12. Exercise Solution Conditional Probability of Purchase by Age.mp4
22MB
2. Statistics and Probability Refresher, and Python Practice/13. Bayes' Theorem.mp4
58.9MB
2. Statistics and Probability Refresher, and Python Practice/2. Mean, Median, Mode.mp4
56.15MB
2. Statistics and Probability Refresher, and Python Practice/3. [Activity] Using mean, median, and mode in Python.mp4
61.93MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4
110.86MB
2. Statistics and Probability Refresher, and Python Practice/5. Probability Density Function; Probability Mass Function.mp4
30.07MB
2. Statistics and Probability Refresher, and Python Practice/6. Common Data Distributions.mp4
75.37MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4
114.04MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4
129.35MB
2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4
147.81MB
3. Predictive Models/1. [Activity] Linear Regression.mp4
100.46MB
3. Predictive Models/2. [Activity] Polynomial Regression.mp4
66.77MB
3. Predictive Models/3. [Activity] Multiple Regression, and Predicting Car Prices.mp4
73.85MB
3. Predictive Models/4. Multi-Level Models.mp4
47.47MB
4. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.mp4
98.61MB
4. Machine Learning with Python/10. [Activity] LINUX Installing Graphviz.mp4
7.05MB
4. Machine Learning with Python/11. Decision Trees Concepts.mp4
86.53MB
4. Machine Learning with Python/12. [Activity] Decision Trees Predicting Hiring Decisions.mp4
95.95MB
4. Machine Learning with Python/13. Ensemble Learning.mp4
65.21MB
4. Machine Learning with Python/14. Support Vector Machines (SVM) Overview.mp4
44.74MB
4. Machine Learning with Python/15. [Activity] Using SVM to cluster people using scikit-learn.mp4
43.94MB
4. Machine Learning with Python/2. [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4
58.14MB
4. Machine Learning with Python/3. Bayesian Methods Concepts.mp4
40.73MB
4. Machine Learning with Python/4. [Activity] Implementing a Spam Classifier with Naive Bayes.mp4
89.09MB
4. Machine Learning with Python/5. K-Means Clustering.mp4
71.94MB
4. Machine Learning with Python/6. [Activity] Clustering people based on income and age.mp4
57.29MB
4. Machine Learning with Python/7. Measuring Entropy.mp4
34.97MB
4. Machine Learning with Python/8. [Activity] WINDOWS Installing Graphviz.mp4
2.06MB
4. Machine Learning with Python/9. [Activity] MAC Installing Graphviz.mp4
14.83MB
5. Recommender Systems/1. User-Based Collaborative Filtering.mp4
86.37MB
5. Recommender Systems/2. Item-Based Collaborative Filtering.mp4
75MB
5. Recommender Systems/3. [Activity] Finding Movie Similarities.mp4
107.83MB
5. Recommender Systems/4. [Activity] Improving the Results of Movie Similarities.mp4
94.86MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4
132.55MB
5. Recommender Systems/6. [Exercise] Improve the recommender's results.mp4
84.23MB
6. More Data Mining and Machine Learning Techniques/1. K-Nearest-Neighbors Concepts.mp4
40.28MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4
142.06MB
6. More Data Mining and Machine Learning Techniques/3. Dimensionality Reduction; Principal Component Analysis.mp4
67.74MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4
109.73MB
6. More Data Mining and Machine Learning Techniques/5. Data Warehousing Overview ETL and ELT.mp4
103.33MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4
132.26MB
6. More Data Mining and Machine Learning Techniques/7. [Activity] Reinforcement Learning & Q-Learning with Gym.mp4
77.96MB
6. More Data Mining and Machine Learning Techniques/8. Understanding a Confusion Matrix.mp4
14.84MB
6. More Data Mining and Machine Learning Techniques/9. Measuring Classifiers (Precision, Recall, F1, ROC, AUC).mp4
25.79MB
7. Dealing with Real-World Data/1. BiasVariance Tradeoff.mp4
66.31MB
7. Dealing with Real-World Data/10. Binning, Transforming, Encoding, Scaling, and Shuffling.mp4
47.91MB
7. Dealing with Real-World Data/2. [Activity] K-Fold Cross-Validation to avoid overfitting.mp4
102.34MB
7. Dealing with Real-World Data/3. Data Cleaning and Normalization.mp4
78.75MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4
129.38MB
7. Dealing with Real-World Data/5. Normalizing numerical data.mp4
38.2MB
7. Dealing with Real-World Data/6. [Activity] Detecting outliers.mp4
36.32MB
7. Dealing with Real-World Data/7. Feature Engineering and the Curse of Dimensionality.mp4
41.71MB
7. Dealing with Real-World Data/8. Imputation Techniques for Missing Data.mp4
49.02MB
7. Dealing with Real-World Data/9. Handling Unbalanced Data Oversampling, Undersampling, and SMOTE.mp4
36.34MB
8. Apache Spark Machine Learning on Big Data/10. TF IDF.mp4
68.85MB
8. Apache Spark Machine Learning on Big Data/11. [Activity] Searching Wikipedia with Spark.mp4
102.99MB
8. Apache Spark Machine Learning on Big Data/12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4
105.68MB
8. Apache Spark Machine Learning on Big Data/3. [Activity] Installing Spark - Part 1.mp4
83.63MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4
111.98MB
8. Apache Spark Machine Learning on Big Data/5. Spark Introduction.mp4
89.86MB
8. Apache Spark Machine Learning on Big Data/6. Spark and the Resilient Distributed Dataset (RDD).mp4
98.51MB
8. Apache Spark Machine Learning on Big Data/7. Introducing MLLib.mp4
54.74MB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4
134.02MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4
117.86MB
9. Experimental Design ML in the Real World/1. Deploying Models to Real-Time Systems.mp4
33.04MB
9. Experimental Design ML in the Real World/2. AB Testing Concepts.mp4
97.49MB
9. Experimental Design ML in the Real World/3. T-Tests and P-Values.mp4
64.92MB
9. Experimental Design ML in the Real World/4. [Activity] Hands-on With T-Tests.mp4
81.62MB
9. Experimental Design ML in the Real World/5. Determining How Long to Run an Experiment.mp4
34.84MB
9. Experimental Design ML in the Real World/6. AB Test Gotchas.mp4
96.1MB
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