3. Deep Dive into MySQL Interface (1).mp4

3. Deep Dive into MySQL Interface (1).mp4

Preview unavailable

You must log in or sign up to view this lesson.

Full Data Science with R Programming

Buy nowLearn more

1.1 Advanced Data Preparation

2. Introduction to Data Science.mp4

3. Installation of R & R Studio.mp4

4. Basics of R Studio.mp4

5. Data Visualization with R Studio.mp4

6. Data Modelling with R Studio.mp4

7. Data Joining with R Studio.mp4

8. Data Visualization with ggplot2.mp4

9. Data Preparation with RStudio.mp4

10. Data Cleaning with RegExp.mp4

Company Casestudy_ Data Visualization.mp4

Data Visualization with Plotly.mp4

R MCQ.docx

Statistics Full.pptx

credit_card_default_case_study_0.docx

default_of_credit_card_clients_0.xlsx

Lending Data.xlsx

Problem Statement_ EX Lending company wanna implement analytical solutions into their institution.docx

1.2 MYSQL

1. Introduction to MySQL.mp4

2. Creating DataBases in MySQL (1).mp4

3. Deep Dive into MySQL Interface (1).mp4

4. Queries in MySQL.mp4

5. Clauses in MYSQL.mp4

6. Clauses in MySQL -2.mp4

7. MY SQL Data Handling.mp4

8. Data Handling Part -1.mp4

9. MYSQL Clauses -2.mp4

10. MYSQL Aggregate Functions.mp4

MySQL MCQ_v1.docx

Assignment -1 for MYSQL.png

Clause Statements in MYSQL.png

Clauses in MySQL.sql

Clauses Part-3.png

Queries in MySQL -1.sql

Queries on MYSQL -1.png

Queries on MySQL.png

1.3 Linear Regression

1. Linear Regression Overview.mp4

2. Supervised & Unsupervised Learning.mp4

3. Linear Regression Deep Dive.mp4

4. Linear Regression Evalution Metrics.mp4

5. Hypothesis Testing.mp4

5.1. Hypothesis Testing.mp4

6. Project on Linear Regression.mp4

7. How to Improve Model Accuracy.mp4

8. Airlines Casestudy.mp4

9. Sales Prediction Case Study.mp4

10. Lasso & Ridge Regression.mp4

11. POC on OLX.mp4

4237445651984047108.mp4

Linear regression MCQ.docx

Linear Regression Material - Applied ML.pdf

Automobile price data _Raw_.csv

Business Case_ R Group of companies, they work on various projects on construction.docx

concrete.csv

Linear Regression Simple & Multiple.R

Linear Regression_Construction.R

Mindmap on Statistics.png

Screenshot 2019-07-18 at 10.14.18 AM.png

1.4 Logistic Regression

1. Introduction to Logistic Regression.mp4

2. Logistic Regression Maths.mp4

3. Logistic Regression_Evaluation Metrics.mp4

4. ROC & AUC Curve.mp4

5. Diabetes Case Study on Logistic Regression.mp4

6. Cancer Prediction Logistic Regression.mp4

7. Different Families in Logistic Model.mp4

Logistic Regression MCQ.docx

Logistic Regression Material - Applied ML.pdf

1.5 Fundamentals of Machine Learning

Fundamentals of Machine Learning Part-2.mp4

Fundamentals of ML Part-1.mp4

Insight's from Train & Test Accuracy.mp4

K-NN Material.pptx

Data Mining.pptx

1.6 Machine Learning & Advanced Machine Learning

1. Decision Tree Maths Deep Dive.mp4

2. Decision Tree Coding on RStudio.mp4

3. Airlines Case study Explanation.mp4

4. Airlines Case Study Coding.mp4

5. Predicting Cricket Performance.mp4

Decision-Tree Learning . (1).pptx

1.Introduction to Gradient Boosting.mp4

Ensembling.pptx

1. Introduction to Neural Networks.mp4

2. Neural Network Architecture.mp4

Neural Networks.pptx

Problem_Statement.docx

Data Dictionary.xls

sampleEntry.csv

test.csv

training.csv

1. Random Forest Maths.mp4

2. Random Forest Coding Deep Dive.mp4

Cancer Casestudy_Logistic Regression.R

Company Case Study_DV.R

Decision Tree_Credit with Factor Conversion.R

Decision Tree_Item classification.R

DecisionTreeRegressor.R

Encoder's Script.R

Hiring challenges_Random Forest Script.R

Kmeans clustering R code.R

SVM and NN.R

1. SVM Deep Dive.mp4

2. SVM Script using R .mp4

Support Vector Machines.pptx

1.7 Time Series

1. Introduction to Time Series Modelling.mp4

2. Time Series Modelling - 2.mp4

3. Characteristics of Time Series Modelling.mp4

4. Time Series Modelling Techniques.mp4

5. Coding Time Series Modelling using R.mp4

6. Time Series Modelling using RNN.mp4

Time-Series Modelling.pdf

Time Series Modelling using R.R

1.8 Deep Learning Foundation

1. Introduction to Neural Networks.mp4

2. Neural Network Architecture.mp4

3. Different Optimizers.mp4

4. Different Activation Functions.mp4

5. Different Loss Functions.mp4

6. Coding Feed Forward NN in R.mp4

Activation Functions.pdf

Deep Learning Introduction .pdf

Gradient Descent .pdf

Loss Functions.pdf

concrete.csv

Neural Network for Classification.R

SVM and NN.R

University (1).xlsx

1.9 Text Mining

1. Introduction to Text Mining.mp4

2. NLP Processing Deep Dive.mp4

3. NLP Classification R Coding Case Study.mp4

4. Language Identification using R.mp4

5. Phrase Extraction .mp4

NLP Complete .pdf

BUSINESS CASE ON COMPLIANCES .pdf

sn_compliance_control.xlsx

Language Identification.R

letterdata.csv

Naive Bayes.R

NB.csv

negative-words.txt

POS Tagging.R

positive-words.txt

Text Mining_Reviews.R

Files used in Videos

Basics of R Studio.R

Cancer Casestudy_Logistic Regression.R

Data Cleaning with Regexp.R

Data Joining with DPLYR.R

Data Manipulation 2-1.R

Data Preparation with R.R

Data Visualization with ggplot2.R

Decision Tree_Credit with Factor Conversion.R

Decision Tree_Item classification.R

DecisionTreeRegressor.R

Diabetes Case Study_Logistic Regression.R

Encoder's Script.R

Hiring challenges_Random Forest Script.R

KNN - Train Accuracy & Test Accuracy.R

KNN_CaseStudy on Credit.R

KNN_Normalization Script.R

Linear Regression Simple & Multiple.R

Linear Regression_Construction.R

Linear Regression_Sales Prediction.R

Logistic Regression Script_Claims.R

Modeling with Dplyr.R