100% Scholarships worth 75 lacs

All our faculty and mentors are qualified and subject specialist.

Regular interaction with industry experts on jobs and new trends in data science

Earn internship, projects, work from corporate world.            

Python Basics, Python Functions & Packages, Working with Data Structure, Arrays, Data Frame, Pandas, NumPy, Matplotlib, Seaborn, Keras, Tensorflow

 R Basics, Data Structure, Tidyverse, ggplot, R Studio.

Data Manipulation, Data Preprocessing, Missing Values, Descriptive Statistics, Outlier Detection, Categorical Variables, and more 

Linear Regression, GLM, Logistic Regression, Naive Bayes Classifier, KNN Classifier, Support Vector Machine, Decision Tree, Ensemble Techniques, Random Forest, XGBoost, Bagging, Boosting

K Means, Hierarchical Clustering, Dimension Reduction (PCA), Artificial Neural Network,   Recommendation Systems, Content Based Filtering, Collaborative Filtering

Customers have questions, you have answers. Display the most frequently asked questions, so everybody benefits.

 Computer Vision, Convolution, Pooling, Padding, Architecture, Face Recognition, Object detection

Perceptron, Neural Network, Gradient Descent, Hyper Parameter Tuning, CNN, RNN, Sequential Models,  RL Framework, Q Learning and more  

 Natural Language processing (NLP), Stop Words, Tokenization, Stemming and Lemmatization, Bag of Words, TF-IDF, POS Tagging, LSTMs, and more