[DesireCourse.Net] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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文件数目:626个文件
文件大小:11.91 GB
收录时间:2020-06-17
访问次数:4
相关内容:DesireCourseUdemyMachineLearningA-Z™Hands-OnPythonDataScience
文件meta
  • 37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip
    224.05 MB
  • 29. Apriori/6. Apriori in Python - Step 4.mp4
    164.33 MB
  • 37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.mp4
    152.77 MB
  • 43. Model Selection/3. Grid Search in Python.mp4
    151.79 MB
  • 17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4
    146.62 MB
  • 23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4
    136 MB
  • 27. Hierarchical Clustering/6. Hierarchical Clustering in Python - Step 2.mp4
    135.93 MB
  • 13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4
    123.59 MB
  • 26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4
    120.51 MB
  • 16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4
    118.63 MB
  • 37. Convolutional Neural Networks/13. CNN in Python - Step 3.mp4
    118.59 MB
  • 39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4
    112.91 MB
  • 43. Model Selection/2. k-Fold Cross Validation in Python.mp4
    112.37 MB
  • 36. Artificial Neural Networks/13. ANN in Python - Step 2.mp4
    111.03 MB
  • 26. K-Means Clustering/6. K-Means Clustering in Python - Step 2.srt
    108.18 MB
  • 21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4
    108.06 MB
  • 29. Apriori/4. Apriori in Python - Step 2.mp4
    107.69 MB
  • 37. Convolutional Neural Networks/12. CNN in Python - Step 2.mp4
    106.88 MB
  • 18. Support Vector Machine (SVM)/3. SVM in Python.mp4
    104.75 MB
  • 34. -------------------- Part 7 Natural Language Processing --------------------/5. Bag-Of-Words Model.mp4
    103.5 MB
  • 40. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4
    102 MB
  • 3. Data Preprocessing in Python/9. Feature Scaling.mp4
    101.72 MB
  • 36. Artificial Neural Networks/16. ANN in Python - Step 5.mp4
    101.35 MB
  • 20. Naive Bayes/6. Naive Bayes in Python.mp4
    100.47 MB
  • 37. Convolutional Neural Networks/15. CNN in Python - Step 5.mp4
    97.68 MB
  • 22. Random Forest Classification/3. Random Forest Classification in Python.mp4
    96.7 MB
  • 1. Welcome to the course!/10. Presentation of the ML A-Z folder, Colaboratory, Jupyter Notebook and Spyder.mp4
    94.79 MB
  • 16. Logistic Regression/15. Logistic Regression in R - Step 5.mp4
    93.77 MB
  • 9. Support Vector Regression (SVR)/8. SVR in Python - Step 5.mp4
    93.64 MB
  • 44. XGBoost/2. XGBoost in Python.mp4
    90 MB
  • 34. -------------------- Part 7 Natural Language Processing --------------------/11. Natural Language Processing in Python - Step 5.mp4
    89.63 MB
  • 3. Data Preprocessing in Python/7. Encoding Categorical Data.mp4
    88.64 MB
  • 19. Kernel SVM/7. Kernel SVM in Python.mp4
    88.36 MB
  • 9. Support Vector Regression (SVR)/5. SVR in Python - Step 2.mp4
    86.92 MB
  • 4. Data Preprocessing in R/8. Splitting the dataset into the Training set and Test set.mp4
    86.49 MB
  • 32. Upper Confidence Bound (UCB)/7. Upper Confidence Bound in Python - Step 4.mp4
    85.39 MB
  • 16. Logistic Regression/4. Logistic Regression in Python - Step 2.mp4
    84.67 MB
  • 34. -------------------- Part 7 Natural Language Processing --------------------/4. Classical vs Deep Learning Models.mp4
    83.96 MB
  • 26. K-Means Clustering/7. K-Means Clustering in Python - Step 3.mp4
    81.34 MB
  • 4. Data Preprocessing in R/9. Feature Scaling.mp4
    78.89 MB
  • 33. Thompson Sampling/6. Thompson Sampling in Python - Step 3.mp4
    78.66 MB
  • 8. Polynomial Regression/5. Polynomial Regression in Python - Step 3.mp4
    77.86 MB
  • 41. Kernel PCA/2. Kernel PCA in Python.mp4
    77.51 MB
  • 30. Eclat/3. Eclat in Python.mp4
    75.55 MB
  • 27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 3.mp4
    75.29 MB
  • 36. Artificial Neural Networks/14. ANN in Python - Step 3.mp4
    75.08 MB
  • 6. Simple Linear Regression/7. Simple Linear Regression in Python - Step 4.mp4
    74.58 MB
  • 11. Random Forest Regression/3. Random Forest Regression in Python.mp4
    74.4 MB
  • 7. Multiple Linear Regression/12. Multiple Linear Regression in Python - Step 4.mp4
    72.52 MB
  • 3. Data Preprocessing in Python/4. Importing the Dataset.mp4
    71.79 MB
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