Artificial Intelligence & Machine Learning
AppsTek’s Data Science courses will introduce complete life cycle concepts such as planning, cleaning data, data analysis, modelling and finally deployment, maintenance and optimization. Mining of massive datasets, Predictive Model Building, Data Visualization will create ambient environment leading to measurable learning for the student.
Data Science is a field that combines mathematics, statistics, core programming, numerical scientific computations, visualization and applies scientific methods to business domains or problems like predicting future customer behaviour, sentiment analysis or recognize speech patterns.
AppsTek has studied market conditions as well as the quality of the training offered by several – both in a formal and unorganized way.
Program Curriculum
- Learning Python Programming
- Database Programming
- Python for Data Science (Planning, Data Acquisition, Data Cleansing, Analysis, Modelling, Deployment and optimization )
- Probability and Statistics for Decision Making
- Supervised Learning (Regression, CART, Naive Bayes, KNN)
- Unsupervised Learning(Clustering, PCA, Decision Trees)
- Ensemble techniques(Bagging and Boosting)