Participants learn functional use of Data Science and how to apply it in solving real problems from their respective field. A skill that is increasingly becoming critical for success in all industries. Thus, enhancing their employability manifold. The internship starts with fundamentals of Python programming and eases the participants into the field of Data Science where every week they attempt to solve increasingly difficult problems under the supervision of an expert mentor.
Content
Introduction to Machine Learning
Python programming & data structures
Numpy with Python
Data Handling with Python
Data Pre-processing with Python
Data Visualization using Matplotlib Packages
Regression Analysis
Classification Algorithms-Logistic Regression, Naive Bayes Classifier, Nearest Neighbour, Support Vector Machines, Decision Trees, Random Forest, Neural Networks
Mini project & research paper
Unsupervised Algorithms- Clustering and Association
Computer Vision with Open CV
Deep Learning with Keras
Major project & final research paper publication
Department Head
Mr Husain is an award winning industry expert, ex Lead Data Scientist from GE & Microsoft with more than 17 years of industry experience.
Mentor / Instructor
Dr Agarwal holds an MTech and PhD in Computer Science and has completed ‘Python for Research’ certification from Harvard University. He has more than 18 years of experience in working with university students and specialises in Design and Analysis of Algorithms, Machine Learning, Neural Networks, Deep Learning, Pattern Recognition, Parallel Algorithms and Programming Languages including Python, Matlab, R, C++ etc.
Two International Certificates
a) Internship Certificate from Sloan Technologies FZCO, UAE.
b) Data Science for Beginners, Certificate of Achievement from Ureka UK.
Certificates will be issued on completion of all requirements of the internship and submission of assignments.
Some of the projects topics that participants will work on
Heart Disease Prediction with Machine Learning Approaches
Fake News Detection using ML Algorithms
A Data Driven Analysis of a Global Crises (Covid-19)
Air Quality prediction model based on Supervised Machine Learning Algorithms
Climate Change Analysis Using Machine Learning
Twitter sentiment Analysis
Quality Prediction of Red Wine based on Different Feature Sets Using Machine Learning Techniques
Internship Format
Live video session with the mentor – 5 days a week, 1 hour daily
Live programming practice using screen share on a daily basis
Reading and reference material will be shared
Small task or assignments will be given on a daily basis