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

Torrent Contents Size: 6.45 GB

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

1. Start Here

	1. Introduction.mp4	MP4	90.41 MB
	2. Installer Anaconda (Python).mp4	MP4	85.95 MB

10. SVM

1. Intuition.mp4

MP4

104.62 MB

2. Implémentation.mp4

MP4

224.07 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

36.72 MB

2. Intuition - Step 2.mp4

MP4

76.16 MB

3. Intuition - Step 3.mp4

MP4

140.78 MB

4. Intuition - Step 4.mp4

MP4

22.53 MB

5. Implémentation.mp4

MP4

197.33 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	22.64 MB
2. CAP curve.mp4	MP4	100.5 MB
3. Evaluer la CAP curve.mp4	MP4	103.89 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

103.67 MB

2. Intuition - Step 2.mp4

MP4

49.07 MB

3. Intuition - Step 3.mp4

MP4

111.23 MB

4. Implémentation - Step 1.mp4

MP4

183.69 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

231.62 MB

6. Implémentation - Step 3.mp4

MP4

138.17 MB

7. Implémentation - Step 4.mp4

MP4

244.14 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

62.72 MB

3. Importer le dataset.mp4

MP4

170.68 MB

4. Gérer les données manquantes.mp4

MP4

212.03 MB

5. Gérer les variables catégoriques.mp4

MP4

296.94 MB

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

MP4

189 MB

7. Appliquer Feature Scaling.mp4

MP4

230.49 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

48.98 MB

2. Intuition - Step 2.mp4

MP4

25.77 MB

3. Implémentation - Step 1.mp4

MP4

141.89 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

81.43 MB

5. Implémentation - Step 3.mp4

MP4

126.41 MB

6. Implémentation - Step 4.mp4

MP4

142.32 MB

5. Régression Linéaire Multiple

1. Intuition - Step 1.mp4

MP4

16.47 MB

2. Intuition - Step 2.mp4

MP4

12.35 MB

3. Intuition - Step 3.mp4

MP4

132.7 MB

4. Intuition - Step 4.mp4

MP4

55.21 MB

5. Intuition - Step 5.mp4

MP4

208.17 MB

6. Implémentation - Step 1.mp4

MP4

274.2 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

277.8 MB

6. Régression Polynomiale

1. Intuition.mp4

MP4

30.94 MB

2. Implémentation - Step 1.mp4

MP4

133.51 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

137.42 MB

4. Implémentation - Step 3.mp4

MP4

68.07 MB

7. Evaluation des modèles de Régression

	1. R Squared.mp4	MP4	57.83 MB
	2. Adjusted R Squared.mp4	MP4	81.99 MB

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

1. Bienvenue à la Partie 3 - Classification.html

HTML

762 B

9. Régression Logistique

1. Intuition.mp4

MP4

151.01 MB

2. Implémentation - Step 1.mp4

MP4

265.86 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

110.94 MB

4. False Positives & False Negatives.mp4

MP4

75.38 MB

5. Matrice de confusion.mp4

MP4

44.49 MB

6. Implémentation - Step 3.mp4

MP4

194.08 MB

7. Implémentation - Step 4.mp4

MP4

284.46 MB

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

Torrent Contents Size: 6.45 GB

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