Magnetz

Title: UdemyGroup: NOGRPSource: Udemy

Info Hash

0D7E0AE068C5CDA5BAE29A0B8A765C2FF2651243

Source

Unverified

Total Size

13.15 GB

Total Files

100

Seeders

0

Leechers

1

Health

Score

1

Type

Bookware

File List

File	Size
01 Introduction/001 Introduction.mp4	29.39 MB
01 Introduction/002 Course Resources.html	1.23 KB
02 Setting up Python and Jupyter Notebook/001 Installing Python and Anaconda.mp4	16.27 MB
02 Setting up Python and Jupyter Notebook/002 This is a milestone!.mp4	20.66 MB
02 Setting up Python and Jupyter Notebook/003 Opening Jupyter Notebook.mp4	65.19 MB
02 Setting up Python and Jupyter Notebook/004 Introduction to Jupyter.mp4	40.91 MB
02 Setting up Python and Jupyter Notebook/005 Arithmetic operators in Python_ Python Basics.mp4	12.74 MB
02 Setting up Python and Jupyter Notebook/006 Strings in Python_ Python Basics.mp4	64.43 MB
02 Setting up Python and Jupyter Notebook/007 Lists, Tuples and Directories_ Python Basics.mp4	60.32 MB
02 Setting up Python and Jupyter Notebook/008 Working with Numpy Library of Python.mp4	43.87 MB
02 Setting up Python and Jupyter Notebook/009 Working with Pandas Library of Python.mp4	46.88 MB
02 Setting up Python and Jupyter Notebook/010 Working with Seaborn Library of Python.mp4	40.36 MB
03 Setting up R Studio and R crash course/001 Installing R and R studio.mp4	35.71 MB
03 Setting up R Studio and R crash course/002 Basics of R and R studio.mp4	38.84 MB
03 Setting up R Studio and R crash course/003 Packages in R.mp4	82.94 MB
03 Setting up R Studio and R crash course/004 Inputting data part 1_ Inbuilt datasets of R.mp4	40.74 MB
03 Setting up R Studio and R crash course/005 Inputting data part 2_ Manual data entry.mp4	25.52 MB
03 Setting up R Studio and R crash course/006 Inputting data part 3_ Importing from CSV or Text files.mp4	60.1 MB
03 Setting up R Studio and R crash course/007 Creating Barplots in R.mp4	96.73 MB
03 Setting up R Studio and R crash course/008 Creating Histograms in R.mp4	42.02 MB
04 Basics of Statistics/001 Types of Data.mp4	21.76 MB
04 Basics of Statistics/002 Types of Statistics.mp4	10.93 MB
04 Basics of Statistics/003 Describing data Graphically.mp4	65.39 MB
04 Basics of Statistics/004 Measures of Centers.mp4	38.57 MB
04 Basics of Statistics/005 Measures of Dispersion.mp4	22.85 MB
05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4	109.17 MB
05 Introduction to Machine Learning/002 Building a Machine Learning Model.mp4	39.48 MB
06 Data Preprocessing/001 Gathering Business Knowledge.mp4	22.28 MB
06 Data Preprocessing/002 Data Exploration.mp4	20.5 MB
06 Data Preprocessing/003 The Dataset and the Data Dictionary.mp4	69.28 MB
06 Data Preprocessing/004 Importing Data in Python.mp4	27.83 MB
06 Data Preprocessing/005 Importing the dataset into R.mp4	13.11 MB
06 Data Preprocessing/006 Univariate analysis and EDD.mp4	24.18 MB
06 Data Preprocessing/007 EDD in Python.mp4	61.8 MB
06 Data Preprocessing/008 EDD in R.mp4	96.98 MB
06 Data Preprocessing/009 Outlier Treatment.mp4	24.49 MB
06 Data Preprocessing/010 Outlier Treatment in Python.mp4	70.25 MB
06 Data Preprocessing/011 Outlier Treatment in R.mp4	30.74 MB
06 Data Preprocessing/012 Missing Value Imputation.mp4	24.99 MB
06 Data Preprocessing/013 Missing Value Imputation in Python.mp4	23.42 MB
06 Data Preprocessing/014 Missing Value imputation in R.mp4	26 MB
06 Data Preprocessing/015 Seasonality in Data.mp4	17.01 MB
06 Data Preprocessing/016 Bi-variate analysis and Variable transformation.mp4	100.39 MB
06 Data Preprocessing/017 Variable transformation and deletion in Python.mp4	44.11 MB
06 Data Preprocessing/018 Variable transformation in R.mp4	55.42 MB
06 Data Preprocessing/019 Non-usable variables.mp4	20.24 MB
06 Data Preprocessing/020 Dummy variable creation_ Handling qualitative data.mp4	36.8 MB
06 Data Preprocessing/021 Dummy variable creation in Python.mp4	26.53 MB
06 Data Preprocessing/022 Dummy variable creation in R.mp4	43.98 MB
06 Data Preprocessing/023 Correlation Analysis.mp4	71.59 MB
06 Data Preprocessing/024 Correlation Analysis in Python.mp4	55.3 MB
06 Data Preprocessing/025 Correlation Matrix in R.mp4	83.13 MB
07 Linear Regression/001 The Problem Statement.mp4	9.37 MB
07 Linear Regression/002 Basic Equations and Ordinary Least Squares (OLS) method.mp4	43.37 MB
07 Linear Regression/003 Assessing accuracy of predicted coefficients.mp4	92.11 MB
07 Linear Regression/004 Assessing Model Accuracy_ RSE and R squared.mp4	43.59 MB
07 Linear Regression/005 Simple Linear Regression in Python.mp4	63.43 MB
07 Linear Regression/006 Simple Linear Regression in R.mp4	40.82 MB
07 Linear Regression/007 Multiple Linear Regression.mp4	34.31 MB
07 Linear Regression/008 The F - statistic.mp4	55.98 MB
07 Linear Regression/009 Interpreting results of Categorical variables.mp4	22.5 MB
07 Linear Regression/010 Multiple Linear Regression in Python.mp4	69.73 MB
07 Linear Regression/011 Multiple Linear Regression in R.mp4	62.37 MB
07 Linear Regression/012 Test-train split.mp4	41.88 MB
07 Linear Regression/013 Bias Variance trade-off.mp4	25.09 MB
07 Linear Regression/014 Test train split in Python.mp4	44.88 MB
07 Linear Regression/015 Test-Train Split in R.mp4	75.6 MB
07 Linear Regression/016 Regression models other than OLS.mp4	16.54 MB
07 Linear Regression/017 Subset selection techniques.mp4	79.06 MB
07 Linear Regression/018 Subset selection in R.mp4	63.53 MB
07 Linear Regression/019 Shrinkage methods_ Ridge and Lasso.mp4	33.34 MB
07 Linear Regression/020 Ridge regression and Lasso in Python.mp4	128.84 MB
07 Linear Regression/021 Ridge regression and Lasso in R.mp4	103.43 MB
07 Linear Regression/022 Heteroscedasticity.mp4	14.49 MB
08 Classification Models_ Data Preparation/001 The Data and the Data Dictionary.mp4	79 MB
08 Classification Models_ Data Preparation/002 Data Import in Python.mp4	22.06 MB
08 Classification Models_ Data Preparation/003 Importing the dataset into R.mp4	13.46 MB
08 Classification Models_ Data Preparation/004 EDD in Python.mp4	77.62 MB
08 Classification Models_ Data Preparation/005 EDD in R.mp4	66.52 MB
08 Classification Models_ Data Preparation/006 Outlier treatment in Python.mp4	47.32 MB
08 Classification Models_ Data Preparation/007 Outlier Treatment in R.mp4	25.37 MB
08 Classification Models_ Data Preparation/008 Missing Value Imputation in Python.mp4	22.56 MB
08 Classification Models_ Data Preparation/009 Missing Value imputation in R.mp4	19.05 MB
08 Classification Models_ Data Preparation/010 Variable transformation and Deletion in Python.mp4	29.25 MB
08 Classification Models_ Data Preparation/011 Variable transformation in R.mp4	38.02 MB
08 Classification Models_ Data Preparation/012 Dummy variable creation in Python.mp4	26.37 MB
08 Classification Models_ Data Preparation/013 Dummy variable creation in R.mp4	44.35 MB
09 The Three classification models/001 Three Classifiers and the problem statement.mp4	20.33 MB
09 The Three classification models/002 Why can't we use Linear Regression_.mp4	16.93 MB
10 Logistic Regression/001 Logistic Regression.mp4	32.92 MB
10 Logistic Regression/002 Training a Simple Logistic Model in Python.mp4	47.87 MB
10 Logistic Regression/003 Training a Simple Logistic model in R.mp4	25.56 MB
10 Logistic Regression/004 Result of Simple Logistic Regression.mp4	26.93 MB
10 Logistic Regression/005 Logistic with multiple predictors.mp4	8.53 MB
10 Logistic Regression/006 Training multiple predictor Logistic model in Python.mp4	26.25 MB
10 Logistic Regression/007 Training multiple predictor Logistic model in R.mp4	15.78 MB
10 Logistic Regression/008 Confusion Matrix.mp4	21.1 MB
10 Logistic Regression/009 Creating Confusion Matrix in Python.mp4	51.25 MB
10 Logistic Regression/010 Evaluating performance of model.mp4	35.16 MB
10 Logistic Regression/011 Evaluating model performance in Python.mp4	9.01 MB

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