Full Data Science with R Programming
- Buy now
- Learn 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

Gradient Descent .pdf

Lesson unavailable

Please login to your account or buy the course.