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Learn for one of the most in-demand career in machine learning, data science, business analytics with python and R programming languages.
Open for all existing students of engineering, management, computer application and other fields.
Data Science Instructor Led Live Online Classes .
Ask your personal learning mentor to clarify your doubts and education.
Earn a valued certificate. Get help for Kaggle and GitHub profile to showcase to world.
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