Download UDEMY - INTRODUCTION AU MACHINE LEARNING 2017.FR.WEB-DL.720P.H264 Torrent

Torrent Contents Size: 8.04 GB

UDEMY - INTRODUCTION AU MACHINE LEARNING 2017.FR.WEB-DL.720P.H264

1. Start Here

	1. Introduction.mp4	MP4	121.86 MB
	2. Installer Anaconda (Python).mp4	MP4	109.19 MB

10. SVM

1. Intuition.mp4

MP4

145.85 MB

2. Implémentation.mp4

MP4

249.91 MB

2.1 SVM

SVM

	Social_Network_Ads.csv	CSV	10.67 KB
	svm.py	PY	1.7 KB

__MACOSX

SVM

	._Social_Network_Ads.csv	CSV	525 B
	._svm.py	PY	210 B

11. Kernel SVM

1. Intuition - Step 1.mp4

MP4

49.22 MB

2. Intuition - Step 2.mp4

MP4

100.72 MB

3. Intuition - Step 3.mp4

MP4

191.81 MB

4. Intuition - Step 4.mp4

MP4

29.79 MB

5. Implémentation.mp4

MP4

227.01 MB

5.1 Kernel_SVM

Kernel_SVM

	Social_Network_Ads.csv	CSV	10.67 KB
	kernel_svm.py	PY	1.7 KB

__MACOSX

Kernel_SVM

	._Social_Network_Ads.csv	CSV	525 B
	._kernel_svm.py	PY	210 B

12. Evaluation des modèles de Classification

1. Le paradoxe de la précision.mp4	MP4	30.77 MB
2. CAP curve.mp4	MP4	131.31 MB
3. Evaluer la CAP curve.mp4	MP4	139.37 MB

13. ---------------------------- Partie 4 - Clustering ----------------------------

1. Bienvenue à la Partie 4 - Clustering.html

HTML

726 B

14. K-Means

1. Intuition - Step 1.mp4

MP4

136.88 MB

2. Intuition - Step 2.mp4

MP4

65.67 MB

3. Intuition - Step 3.mp4

MP4

149.04 MB

4. Implémentation - Step 1.mp4

MP4

225.47 MB

4.1 K_Means

K_Means

	Mall_Customers.csv	CSV	4.19 KB
	k_means.py	PY	1.3 KB

__MACOSX

K_Means

	._Mall_Customers.csv	CSV	474 B
	._k_means.py	PY	210 B

5. Implémentation - Step 2.mp4

MP4

290.89 MB

6. Implémentation - Step 3.mp4

MP4

167.18 MB

7. Implémentation - Step 4.mp4

MP4

300.59 MB

2. ------------------------ Partie 1 - Data Preprocessing ------------------------

1. Bienvenue à la Partie 1 - Data Preprocessing.html

HTML

488 B

1.1 Data_Preprocessing

Data_Preprocessing

	Data.csv	CSV	226 B
	data_preprocessing.py	PY	1.13 KB

__MACOSX

Data_Preprocessing

	._Data.csv	CSV	568 B
	._data_preprocessing.py	PY	210 B

2. Importer les librairies.mp4

MP4

84.09 MB

3. Importer le dataset.mp4

MP4

250.16 MB

4. Gérer les données manquantes.mp4

MP4

269.95 MB

5. Gérer les variables catégoriques.mp4

MP4

373.4 MB

6. Diviser le dataset entre le Training set et le Test set.mp4

MP4

234.61 MB

7. Appliquer Feature Scaling.mp4

MP4

263.46 MB

3. ---------------------------- Partie 2 - Régression ----------------------------

1. Bienvenue à la Partie 2 - Régression.html

HTML

620 B

4. Régression Linéaire Simple

1. Intuition - Step 1.mp4

MP4

66.98 MB

2. Intuition - Step 2.mp4

MP4

34.84 MB

3. Implémentation - Step 1.mp4

MP4

173.9 MB

3.1 Regression_Lineaire_Simple

Regression_Lineaire_Simple

	Salary_Data.csv	CSV	454 B
	regression_lineaire_simple.py	PY	920 B

__MACOSX

Regression_Lineaire_Simple

	._Salary_Data.csv	CSV	377 B
	._regression_lineaire_simple.py	PY	210 B

4. Implémentation - Step 2.mp4

MP4

103.54 MB

5. Implémentation - Step 3.mp4

MP4

152.12 MB

6. Implémentation - Step 4.mp4

MP4

168.07 MB

5. Régression Linéaire Multiple

1. Intuition - Step 1.mp4

MP4

21.84 MB

2. Intuition - Step 2.mp4

MP4

15.98 MB

3. Intuition - Step 3.mp4

MP4

167.92 MB

4. Intuition - Step 4.mp4

MP4

65.96 MB

5. Intuition - Step 5.mp4

MP4

274.71 MB

6. Implémentation - Step 1.mp4

MP4

320.14 MB

6.1 Regression_Lineaire_Multiple

Regression_Lineaire_Multiple

	50_Startups.csv	CSV	2.38 KB
	regression_lineaire_multiple.py	PY	1 KB

__MACOSX

Regression_Lineaire_Multiple

	._50_Startups.csv	CSV	576 B
	._regression_lineaire_multiple.py	PY	210 B

7. Implémentation - Step 2.mp4

MP4

323.39 MB

6. Régression Polynomiale

1. Intuition.mp4

MP4

40.68 MB

2. Implémentation - Step 1.mp4

MP4

164.78 MB

2.1 Regression_Polynomiale

Regression_Polynomiale

	Position_Salaries.csv	CSV	246 B
	regression_polynomiale.py	PY	1.1 KB

__MACOSX

Regression_Polynomiale

	._Position_Salaries.csv	CSV	521 B
	._regression_polynomiale.py	PY	210 B

3. Implémentation - Step 2.mp4

MP4

168.19 MB

4. Implémentation - Step 3.mp4

MP4

85.63 MB

7. Evaluation des modèles de Régression

	1. R Squared.mp4	MP4	77.7 MB
	2. Adjusted R Squared.mp4	MP4	110.62 MB

8. -------------------------- Partie 3 - Classification --------------------------

1. Bienvenue à la Partie 3 - Classification.html

HTML

762 B

9. Régression Logistique

1. Intuition.mp4

MP4

206.04 MB

2. Implémentation - Step 1.mp4

MP4

316.06 MB

2.1 Regression_Logistique

Regression_Logistique

	Social_Network_Ads.csv	CSV	10.67 KB
	regression_logistique.py	PY	1.74 KB

__MACOSX

Regression_Logistique

	._Social_Network_Ads.csv	CSV	525 B
	._regression_logistique.py	PY	210 B

3. Implémentation - Step 2.mp4

MP4

124.99 MB

4. False Positives & False Negatives.mp4

MP4

101.88 MB

5. Matrice de confusion.mp4

MP4

59.27 MB

6. Implémentation - Step 3.mp4

MP4

225.89 MB

7. Implémentation - Step 4.mp4

MP4

320.1 MB

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UDEMY - INTRODUCTION AU MACHINE LEARNING 2017.FR.WEB-DL.720P.H264

Torrent Contents Size: 8.04 GB

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