Aug 16

Syllabus

Course Outline

Available in three modes

Fundamental Batch

Topic wise course coverage in Fundamental Batch of 15-30 days. No pause allowed.

Full Stack Batch

Topic wise course coverage in Full Program of 3+ months duration. Multiple pause allowed

Guaranteed Program

Topic wise course coverage in Guaranteed program of 4-6 months duration. Multiple pause allowed.

  Python Programming

Fundamental Batch

Introduction to jupyter notebook, python data types.

Full Stack Batch

List, tuple, dictionary, set, indexing

Guaranteed Program Batch

Functions, loops, lambda, dates, math, regex

  Data Handling

Fundamental Batch

Install library, import library, introduction to pandas, read csv, excel, json and html file as pandas dataframe and basic functions.

Full Stack Batch

Advance pandas with merge, join, plotting, group by, date time

Guaranteed Program Batch

 Numpy array, scipy

  Data Preprocessing

Fundamental Batch

Train test split, scaling, label encoding, ordinal encoding

Full Stack Batch

Dummy variable, one hot encoder, missing values, outlier detection

Guaranteed Program Batch

Discretization

  Data Visualization

Fundamental Batch

Introduction to matplotlib library, line, bar, scatter, histogram and pie charts 

Full Stack Batch

Advance matplotlib and seaborn charts

Guaranteed Program Batch

3D and interactive charts with plotly

  Feature Selection and Engineering

Fundamental Batch

--------------

Full Stack Batch

Univariate feature selection, recursive feature selection, feature selection with models

Guaranteed Program Batch

Advance feature engineering 

  Regression Analysis

Fundamental Batch

Simple and multiple linear regression with ordinary least square method using SkLearn library

Full Stack Batch

Linear regression, non linear regression, polynomial regression, Ridge, Lasso, ElasticNet

Guaranteed Program Batch

Advance regression and post model diagnostic

  Logistic Regression

Fundamental Batch

--------------

Full Stack Batch

Logistic regression, ROC and AUC curve

Guaranteed Program Batch

Advance logistic regression

  K-Nearest Neighbors

Fundamental Batch

Concept of KNN and modeling

Full Stack Batch

Optimize KNN models for results and hyperparameter tuning

Guaranteed Program Batch

Advance KNN

  Naïve Bayes

Fundamental Batch

--------------

Full Stack Batch

Bayesian theorem and naïve bayes model 

Guaranteed Program Batch

Advance naïve bayes model

  Support Vector Machine

Fundamental Batch

--------------

Full Stack Batch

SVM, SVC, kernel functions, model tuning

Guaranteed Program Batch

Advance support vector machine models

  Decision Tree

Fundamental Batch

--------------

Full Stack Batch

Decision tree concepts and modeling

Guaranteed Program Batch

Advance decision tree models

  Random Forest

Fundamental Batch

--------------

Full Stack Batch

Random forest and model tuning

Guaranteed Program Batch

Advance random forest model

  Ensemble Models

Fundamental Batch

--------------

Full Stack Batch

Bagging, boosting and stacking models

Guaranteed Program Batch

Advance ensemble models

  Clustering

Fundamental Batch

--------------

Full Stack Batch

K means clustering

Guaranteed Program Batch

Advance clustering

  Dimension Reduction

Fundamental Batch

--------------

Full Stack Batch

Principal component analysis

Guaranteed Program Batch

Advance concepts in dimension reduction

  Model Selection and Evaluation

Fundamental Batch

Mean absolute error, accuracy score

Full Stack Batch

Recall, precision, confusion matrix

Guaranteed Program Batch

Advance model selection and evaluation

Deep Learning

Course Outline

Available in three modes

Fundamental Batch

Topic wise course coverage in Fundamental Batch of 15-30 days. No pause allowed.

Full Stack Batch

Topic wise course coverage in Full Program of 3+ months duration. Multiple pause allowed

Guaranteed Program

Topic wise course coverage in Guaranteed program of 4-6 months duration. Multiple pause allowed.

  Python Programming

Fundamental Batch

Introduction to jupyter notebook, python data types.

Full Stack Batch

List, tuple, dictionary, set, indexing

Guaranteed Program Batch

Functions, loops, lambda, dates, math, regex

  Data Handling

Fundamental Batch

Install library, import library, introduction to pandas, read csv, excel, json and html file as pandas dataframe and basic functions.

Full Stack Batch

Advance pandas with merge, join, plotting, group by, date time

Guaranteed Program Batch

 Numpy array, scipy

  Data Preprocessing

Fundamental Batch

Train test split, scaling, label encoding, ordinal encoding

Full Stack Batch

Dummy variable, one hot encoder, missing values, outlier detection

Guaranteed Program Batch

Discretization

  Data Visualization

Fundamental Batch

Introduction to matplotlib library, line, bar, scatter, histogram and pie charts 

Full Stack Batch

Advance matplotlib and seaborn charts

Guaranteed Program Batch

3D and interactive charts with plotly

  Feature Selection and Engineering

Fundamental Batch

--------------

Full Stack Batch

Univariate feature selection, recursive feature selection, feature selection with models

Guaranteed Program Batch

Advance feature engineering 

  Regression Analysis

Fundamental Batch

Simple and multiple linear regression with ordinary least square method using SkLearn library

Full Stack Batch

Linear regression, non linear regression, polynomial regression, Ridge, Lasso, ElasticNet

Guaranteed Program Batch

Advance regression and post model diagnostic

  Logistic Regression

Fundamental Batch

--------------

Full Stack Batch

Logistic regression, ROC and AUC curve

Guaranteed Program Batch

Advance logistic regression

  K-Nearest Neighbors

Fundamental Batch

Concept of KNN and modeling

Full Stack Batch

Optimize KNN models for results and hyperparameter tuning

Guaranteed Program Batch

Advance KNN

  Naïve Bayes

Fundamental Batch

--------------

Full Stack Batch

Bayesian theorem and naïve bayes model 

Guaranteed Program Batch

Advance naïve bayes model

  Support Vector Machine

Fundamental Batch

--------------

Full Stack Batch

SVM, SVC, kernel functions, model tuning

Guaranteed Program Batch

Advance support vector machine models

  Decision Tree

Fundamental Batch

--------------

Full Stack Batch

Decision tree concepts and modeling

Guaranteed Program Batch

Advance decision tree models

  Random Forest

Fundamental Batch

--------------

Full Stack Batch

Random forest and model tuning

Guaranteed Program Batch

Advance random forest model

  Ensemble Models

Fundamental Batch

--------------

Full Stack Batch

Bagging, boosting and stacking models

Guaranteed Program Batch

Advance ensemble models

  Clustering

Fundamental Batch

--------------

Full Stack Batch

K means clustering

Guaranteed Program Batch

Advance clustering

  Dimension Reduction

Fundamental Batch

--------------

Full Stack Batch

Principal component analysis

Guaranteed Program Batch

Advance concepts in dimension reduction

  Model Selection and Evaluation

Fundamental Batch

Mean absolute error, accuracy score

Full Stack Batch

Recall, precision, confusion matrix

Guaranteed Program Batch

Advance model selection and evaluation

Big Data

Course Outline

Available in three modes

Fundamental Batch

Topic wise course coverage in Fundamental Batch of 15-30 days. No pause allowed.

Full Stack Batch

Topic wise course coverage in Full Program of 3+ months duration. Multiple pause allowed

Guaranteed Program

Topic wise course coverage in Guaranteed program of 4-6 months duration. Multiple pause allowed.

  Python Programming

Fundamental Batch

Introduction to jupyter notebook, python data types.

Full Stack Batch

List, tuple, dictionary, set, indexing

Guaranteed Program Batch

Functions, loops, lambda, dates, math, regex

  Data Handling

Fundamental Batch

Install library, import library, introduction to pandas, read csv, excel, json and html file as pandas dataframe and basic functions.

Full Stack Batch

Advance pandas with merge, join, plotting, group by, date time

Guaranteed Program Batch

 Numpy array, scipy

  Data Preprocessing

Fundamental Batch

Train test split, scaling, label encoding, ordinal encoding

Full Stack Batch

Dummy variable, one hot encoder, missing values, outlier detection

Guaranteed Program Batch

Discretization

  Data Visualization

Fundamental Batch

Introduction to matplotlib library, line, bar, scatter, histogram and pie charts 

Full Stack Batch

Advance matplotlib and seaborn charts

Guaranteed Program Batch

3D and interactive charts with plotly

  Feature Selection and Engineering

Fundamental Batch

--------------

Full Stack Batch

Univariate feature selection, recursive feature selection, feature selection with models

Guaranteed Program Batch

Advance feature engineering 

  Regression Analysis

Fundamental Batch

Simple and multiple linear regression with ordinary least square method using SkLearn library

Full Stack Batch

Linear regression, non linear regression, polynomial regression, Ridge, Lasso, ElasticNet

Guaranteed Program Batch

Advance regression and post model diagnostic

  Logistic Regression

Fundamental Batch

--------------

Full Stack Batch

Logistic regression, ROC and AUC curve

Guaranteed Program Batch

Advance logistic regression

  K-Nearest Neighbors

Fundamental Batch

Concept of KNN and modeling

Full Stack Batch

Optimize KNN models for results and hyperparameter tuning

Guaranteed Program Batch

Advance KNN

  Naïve Bayes

Fundamental Batch

--------------

Full Stack Batch

Bayesian theorem and naïve bayes model 

Guaranteed Program Batch

Advance naïve bayes model

  Support Vector Machine

Fundamental Batch

--------------

Full Stack Batch

SVM, SVC, kernel functions, model tuning

Guaranteed Program Batch

Advance support vector machine models

  Decision Tree

Fundamental Batch

--------------

Full Stack Batch

Decision tree concepts and modeling

Guaranteed Program Batch

Advance decision tree models

  Random Forest

Fundamental Batch

--------------

Full Stack Batch

Random forest and model tuning

Guaranteed Program Batch

Advance random forest model

  Ensemble Models

Fundamental Batch

--------------

Full Stack Batch

Bagging, boosting and stacking models

Guaranteed Program Batch

Advance ensemble models

  Clustering

Fundamental Batch

--------------

Full Stack Batch

K means clustering

Guaranteed Program Batch

Advance clustering

  Dimension Reduction

Fundamental Batch

--------------

Full Stack Batch

Principal component analysis

Guaranteed Program Batch

Advance concepts in dimension reduction

  Model Selection and Evaluation

Fundamental Batch

Mean absolute error, accuracy score

Full Stack Batch

Recall, precision, confusion matrix

Guaranteed Program Batch

Advance model selection and evaluation

Cloud Computing

Course Outline

Available in three modes

Fundamental Batch

Topic wise course coverage in Fundamental Batch of 15-30 days. No pause allowed.

Full Stack Batch

Topic wise course coverage in Full Program of 3+ months duration. Multiple pause allowed

Guaranteed Program

Topic wise course coverage in Guaranteed program of 4-6 months duration. Multiple pause allowed.

  Python Programming

Fundamental Batch

Introduction to jupyter notebook, python data types.

Full Stack Batch

List, tuple, dictionary, set, indexing

Guaranteed Program Batch

Functions, loops, lambda, dates, math, regex

  Data Handling

Fundamental Batch

Install library, import library, introduction to pandas, read csv, excel, json and html file as pandas dataframe and basic functions.

Full Stack Batch

Advance pandas with merge, join, plotting, group by, date time

Guaranteed Program Batch

 Numpy array, scipy

  Data Preprocessing

Fundamental Batch

Train test split, scaling, label encoding, ordinal encoding

Full Stack Batch

Dummy variable, one hot encoder, missing values, outlier detection

Guaranteed Program Batch

Discretization

  Data Visualization

Fundamental Batch

Introduction to matplotlib library, line, bar, scatter, histogram and pie charts 

Full Stack Batch

Advance matplotlib and seaborn charts

Guaranteed Program Batch

3D and interactive charts with plotly

  Feature Selection and Engineering

Fundamental Batch

--------------

Full Stack Batch

Univariate feature selection, recursive feature selection, feature selection with models

Guaranteed Program Batch

Advance feature engineering 

  Regression Analysis

Fundamental Batch

Simple and multiple linear regression with ordinary least square method using SkLearn library

Full Stack Batch

Linear regression, non linear regression, polynomial regression, Ridge, Lasso, ElasticNet

Guaranteed Program Batch

Advance regression and post model diagnostic

  Logistic Regression

Fundamental Batch

--------------

Full Stack Batch

Logistic regression, ROC and AUC curve

Guaranteed Program Batch

Advance logistic regression

  K-Nearest Neighbors

Fundamental Batch

Concept of KNN and modeling

Full Stack Batch

Optimize KNN models for results and hyperparameter tuning

Guaranteed Program Batch

Advance KNN

  Naïve Bayes

Fundamental Batch

--------------

Full Stack Batch

Bayesian theorem and naïve bayes model 

Guaranteed Program Batch

Advance naïve bayes model

  Support Vector Machine

Fundamental Batch

--------------

Full Stack Batch

SVM, SVC, kernel functions, model tuning

Guaranteed Program Batch

Advance support vector machine models

  Decision Tree

Fundamental Batch

--------------

Full Stack Batch

Decision tree concepts and modeling

Guaranteed Program Batch

Advance decision tree models

  Random Forest

Fundamental Batch

--------------

Full Stack Batch

Random forest and model tuning

Guaranteed Program Batch

Advance random forest model

  Ensemble Models

Fundamental Batch

--------------

Full Stack Batch

Bagging, boosting and stacking models

Guaranteed Program Batch

Advance ensemble models

  Clustering

Fundamental Batch

--------------

Full Stack Batch

K means clustering

Guaranteed Program Batch

Advance clustering

  Dimension Reduction

Fundamental Batch

--------------

Full Stack Batch

Principal component analysis

Guaranteed Program Batch

Advance concepts in dimension reduction

  Model Selection and Evaluation

Fundamental Batch

Mean absolute error, accuracy score

Full Stack Batch

Recall, precision, confusion matrix

Guaranteed Program Batch

Advance model selection and evaluation
For details reach out to us at (+91) 966 798 7711 or email support@ybifoundation.org