Machine Learning with Python Data Science for Beginners | C34CE2A4345305CC64CB0A096835C208B82884EF

Machine Learning with Python Data Science for Beginners

Name	Machine Learning with Python - Data Science for Beginners	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.3 GB
Total Files	76
Hash	C34CE2A4345305CC64CB0A096835C208B82884EF

/02 Introduction to Data Scientists Toolbox/
022 Data Visualization.mp4	63.6 MB
008 Download PPT and Code.html	0.9 KB
009 Overview of Contents.mp4	3.4 MB
010 Quick recap of Python.mp4	9.0 MB
011 Python 2.7 vs Python 3.5.mp4	8.3 MB
012 Installation Setup.mp4	21.4 MB
013 Datatypes Overview.mp4	10.3 MB
014 Spyder tour.mp4	6.2 MB
015 Datatypes demo.mp4	43.7 MB
016 Datatypes- Numpy.mp4	20.2 MB
017 Datatypes-Pandas.mp4	19.2 MB
018 Data Engineering.mp4	52.2 MB
019 Data Engineering 2.mp4	13.5 MB
020 Data Engineering 3.mp4	21.7 MB
021 Functions.mp4	14.1 MB
/01 Introduction/
002 Overview of Contents.mp4	3.4 MB
003 The Bigger Picture.mp4	12.0 MB
004 The Problem Landscape.mp4	22.6 MB
005 Defining Data Science.mp4	12.8 MB
006 Demystifying AI-ML-Data Science.mp4	8.1 MB
007 Exploring the Data Scientists Toolbox.mp4	19.7 MB
001 PPT.html	0.9 KB
/01 Introduction/attached files/
001 Module-1.pptx	1.0 MB
/attached files/
008 Module-2-Codes.zip	4.6 KB
008 Module-2.pptx	3.3 MB
/03 Exploratory Data Analysis Feature Engineering and Hypothesis Testing/
023 Download PPT and Code.html	0.9 KB
024 Overview of Contents.mp4	2.6 MB
025 Machine Learning Methodology.mp4	14.3 MB
026 Exploratory Data Analysis.mp4	6.3 MB
027 Univariate Analysis.mp4	15.3 MB
028 Univariate Analysis 2.mp4	32.2 MB
029 Bivariate Analysis.mp4	57.9 MB
030 Feature Engineering.mp4	36.4 MB
031 Introduction to Statistics.mp4	31.9 MB
032 Probability Distributions.mp4	15.2 MB
/attached files/
023 Module-3-Codes.zip	1.8 KB
023 Module-3.pptx	3.3 MB
/04 Machine Learning/
033 Download PPT and Code.html	0.9 KB
034 Overview of Contents.mp4	4.9 MB
035 Introduction to Machine Learning.mp4	35.8 MB
036 Supervised Learning.mp4	6.2 MB
037 Simple Multiple Linear Regression.mp4	25.0 MB
038 Regression Demo.mp4	32.5 MB
039 Classification - Logistic Regression.mp4	18.6 MB
040 Classification Logistic Regression Demo.mp4	21.0 MB
041 Decision Trees.mp4	37.2 MB
042 Decision Trees Demo.mp4	41.2 MB
043 Unsupervised Learning - Clustering.mp4	19.1 MB
044 Unsupervised Learning Clustering Demo.mp4	15.3 MB
045 Unsupervised Learning -Association Rules.mp4	9.4 MB
046 Model Evaluation - Regression.mp4	8.2 MB
047 Model Evaluation - Regression Demo.mp4	20.4 MB
048 Model Evaluation - Classification.mp4	15.4 MB
049 Model Evaluation - Classification Demo.mp4	27.2 MB
050 Regularization Hyperparameter tuning.mp4	22.1 MB
051 Bias Variance Tradeoff.mp4	13.3 MB
052 Cross Validation.mp4	11.5 MB
053 Hyperparameter Tuning.mp4	10.7 MB
054 Cross Validation Hyperparameter Demo.mp4	43.6 MB
055 Ensemble Modeling.mp4	28.4 MB
056 Random Forest Bagging.mp4	14.7 MB
057 XGBoost Boosting.mp4	7.5 MB
058 RF XGB Demo.mp4	31.7 MB
/attached files/
033 Module-4-Codes.zip	7.7 KB
033 Module-4.pptx	4.3 MB
/05 Capstone Project/
059 Download PPT Code and Data.html	0.9 KB
060 Overview of Contents.mp4	6.4 MB
061 Project Use Case Overview.mp4	16.4 MB
062 Defining the Problem Statement.mp4	10.7 MB
063 Business Solution Blueprint.mp4	23.2 MB
064 Explore Define a ML use case.mp4	16.4 MB
065 EDA and Feature Engineering.mp4	28.4 MB
066 Approach for Model Development Evaluation Optimization.mp4	24.1 MB
067 Storyboarding.mp4	11.3 MB
/attached files/
059 Module-5-Code-Data.zip	1.0 MB
059 Module-5.pptx	3.0 MB
Total files 76