Manjusha U.

Years of Experience in Data Science Classes

1

Teaching Experience in detail in Data Science Classes

Topics covered: Data Science using Python STATISTICS • Statistical analysis concepts • Descriptive statistics • Introduction to probability and Bayes theorem • Probability distributions • Hypothesis testing & scores (All exercises done using Python) PYTHON FOR DATA SCIENCE • Python Overview • Pandas for Pre-Processing and Exploratory Data Analysis • Numpy for Statistical Analysis • Matplotlib , Seaborn for Data Visualization • Scikit-Learn • Scipy SUPERVISED LEARNING • Introduction to Machine Learning • Supervised Learning concepts • Linear Regression • Logistic Regression • K-NN Classi?cation • Naïve Bayesian classi?ers • SVM - Support Vector Machines • Hands-on project using Python UNSUPERVISED LEARNING • Unsupervised Learning concepts • Clustering approaches • K Means clustering • Hierarchical clustering ENSEMBLE TECHNIQUES • Decision Tree • Introduction to Ensemble Learning • Different Ensemble Learning Techniques • Bagging • Boosting • Random Forests • Stacking • Hands-on project using Python • PCA (Principal Component Analysis) and its applications FEATURIZATION, MODEL SELECTION & TUNING • Text Analytics • Feature extraction • Model Defects & Evaluation Metrics • Model selection and tuning • Comparison of Machine Learning models RECOMMENDATION SYSTEMS • Introduction to Recommendation Systems • Types of Recommendation techniques • Collaborative Filtering • Content based Filtering • Hybrid RS • Case Study • Performance measurement • Hands-on project using Python Datasets will be given to practice topics covered. 1 hr class per day on weekdays. 4 months to cover the entire course. Content and timing can be customized as per requirement

Courses in Data Science Classes

Data science using Python

Pune

Years of Experience in Data Analysis Classes

3

Years of Experience in R Programming

1