Download Udemy - Machine Learning & Data Science A-Z: Hands-on Python 2021 [FCS] Torrent

Torrent Contents Size: 6.8 GB

Udemy - Machine Learning & Data Science A-Z: Hands-on Python 2021 [FCS]

▼ show more 76 files

001 Course Content.mp4	MP4	17.1 MB
001 Introduction.mp4	MP4	17 MB
001 Learning Types.mp4	MP4	45.4 MB
001 Python Source Codes.html	HTML	1.2 KB
001 Reading and Modifying a Dataset.mp4	MP4	154.6 MB
001 Simple and Multiple Linear Regression Concepts.mp4	MP4	212.2 MB
001 Supervised Learning Models - Introduction and Understanding the Data.mp4	MP4	233.8 MB
002 K-means Concepts1.mp4	MP4	44.5 MB
002 Multiple Linear Regression - Model Development.mp4	MP4	75.6 MB
002 NumPy1.mp4	MP4	37.5 MB
002 Statistics1.mp4	MP4	34 MB
002 Support Vector Regression - Model Tuning.mp4	MP4	125.6 MB
002 What is Machine Learning_ Some Basic Terms.mp4	MP4	25.8 MB
002 k-NN Concepts.mp4	MP4	48 MB
003 Evaluation Metrics - Concepts.mp4	MP4	49.5 MB
003 K-Means - Model Tuning.mp4	MP4	15.3 MB
003 K-means Concepts2.mp4	MP4	21.3 MB
003 NumPy2.mp4	MP4	56.9 MB
003 Python Installation.html	HTML	1.5 KB
003 Statistics2.mp4	MP4	207.5 MB
003 k-NN Model Development.mp4	MP4	140.7 MB
004 Evaluation Metrics - Implementation.mp4	MP4	159.9 MB
004 K-means Model Development1.mp4	MP4	36 MB
004 NumPy3.mp4	MP4	84.5 MB
004 Python IDE.mp4	MP4	7.5 MB
004 Statistics3 - Covariance.mp4	MP4	107.5 MB
004 k-NN - Model Tuning.mp4	MP4	133.6 MB
004 k-NN Training-Set and Test-Set Creation.mp4	MP4	228.4 MB
005 Decision Tree Concepts.mp4	MP4	25.6 MB
005 IDE Installation.mp4	MP4	22.3 MB
005 K-means Model Development2.mp4	MP4	103.8 MB
005 Missing Values1.mp4	MP4	129.6 MB
005 NumPy4.mp4	MP4	56.6 MB
005 Overfitting and Underfitting.mp4	MP4	72.1 MB
005 Polynomial Linear Regression Concepts.mp4	MP4	26.4 MB
006 Decision Tree Model Development.mp4	MP4	66.8 MB
006 Installation of Required Libraries.mp4	MP4	70.8 MB
006 K-means - Model Evaluation.mp4	MP4	102.4 MB
006 Missing Values2.mp4	MP4	219.4 MB
006 NumPy5.mp4	MP4	152.6 MB
006 Polynomial Linear Regression Model Development.mp4	MP4	219.1 MB
007 DBSCAN Concepts.mp4	MP4	26.8 MB
007 Decision Tree - Cross Validation.mp4	MP4	54.6 MB
007 NumPy6.mp4	MP4	134.5 MB
007 Outlier Detection1.mp4	MP4	73.2 MB
007 Random Forest Concepts.mp4	MP4	30.2 MB
007 Spyder Interface.mp4	MP4	46.4 MB
008 DBSCAN Model Development.mp4	MP4	86.9 MB
008 Naive Bayes Concepts.mp4	MP4	59.2 MB
008 Outlier Detection2.mp4	MP4	130.7 MB
008 Pandas1.mp4	MP4	95.6 MB
008 Random Forest Model Development.mp4	MP4	246.2 MB
009 Hierarchical Clustering Concepts.mp4	MP4	24.3 MB
009 Naive Bayes Model Development.mp4	MP4	58.9 MB
009 Outlier Detection3.mp4	MP4	31 MB
009 Pandas2.mp4	MP4	116.9 MB
009 Support Vector Regression Concepts.mp4	MP4	27 MB
010 Concatenation.mp4	MP4	65.9 MB
010 Hierarchical Clustering Model Development.mp4	MP4	145.9 MB
010 Logistic Regression Concepts.mp4	MP4	10.9 MB
010 Pandas3.mp4	MP4	117.8 MB
010 Support Vector Regression Model Development.mp4	MP4	121 MB
011 Dummy Variable.mp4	MP4	57.6 MB
011 Logistic Regression Model Development.mp4	MP4	112.1 MB
011 Pandas4.mp4	MP4	203 MB
012 Model Evaluation Concepts.mp4	MP4	83.5 MB
012 Normalization.mp4	MP4	186.9 MB
012 Visualization with Matplotlib1.mp4	MP4	99.4 MB
013 Model Evaluation - Calculating with Python.mp4	MP4	174 MB
013 Visualization with Matplotlib2.mp4	MP4	205.2 MB
014 Visualization with Matplotlib3.mp4	MP4	188.8 MB
015 Visualization with Matplotlib4.mp4	MP4	143 MB
016 Visualization with Matplotlib5.mp4	MP4	129.2 MB
018 Data_Set.txt	TXT	614.4 B
024 Data_Set.txt	TXT	614.4 B
033 Data_New.txt	TXT	204.8 B
Chapter2.Matplotlib.py	PY	2.9 KB
Chapter2.NumPy.py	PY	1.1 KB
Chapter2.Pandas.py	PY	1.1 KB
Chapter3.Preprocessing.py	PY	2.6 KB
Chapter5.Classification.py	PY	3.3 KB
Chapter6.Regression.py	PY	4.3 KB
Chapter7.Clustering.py	PY	1.4 KB
Chapter8.Parameter Tuning.py	PY	1.9 KB
Readme.txt	TXT	102.4 B
[CourseClub.ME].url	URL	102.4 B
[FCS Forum].url	URL	102.4 B
[FreeCourseSite.com].url	URL	102.4 B
[GigaCourse.Com].url	URL	0 B

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Udemy - Machine Learning & Data Science A-Z: Hands-on Python 2021 [FCS]

Torrent Contents Size: 6.8 GB

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