Don't waste your valuable time or money
Niltech Edu is part of a product development company, so you get to experience the technologies we work on. Our Python Developer has build several products fro organisations like DRDO, Indian Airforce and many more using Python Programming. At Niltech Edu our quality curriculum is designed with top-tier industries in mind, not academics, so you learn the high-impact skills that top companies want.
What You Will Learn
You’ll master the skills necessary to become a successful Data Scientist. You’ll work on projects designed by industry experts, and learn to run data pipelines, design experiments, build recommendation systems, and deploy solutions.
- 1. Introduction to data science
- 2. Data Science vs Data Analysis vs ML vs AI
- 3. Cloud Computing (AWS, GCP)
- 4. Necessary python modules
- 5. Statistical data types
- 6. Mathematical Introduction
- 7. Exploration Data Analysis (EDA)
- 8. Data preprocessing
- 9. Project 1
- 10. Machine Learning and Types
- 11. Linear Regression
- 12. Multi Linear Regression
- 13. Project 2
- 14. Perceptron
- 15. Decision Trees
- 16. Project 3
- 17. Naive Bayes
- 18. Project 4
- 19. Support Vector Machines
- 20. Ensemble Methods
- 21. Major Project 1
- 22. Clustering
- 23. Project 5 - Clustering of movie ratings
- 24. Hierarchical Clustering
- 25. Gaussian Mixture Model (GMM)
- 26. Dimensionality Reduction
- 27. Major Project 2
- 28. Text Analytics
- 29. Video recommender system
- 30. Project 6
- 31. Computer Vision
- 32. Neural Networks
- 33. Deep Neural Networks
- 34. Convolutional Neural Networks
- 35. Project 7
- 36. Project Major 3
- 37. Time Series
- 38. LSTM
- 39. HTML/CSS
- 40. FastAPI
- 41. Cloud deployment
- 42. Cloud ML services
- FInal Project
About Data Science and Machine Learning
At its core, Data Science is a field of study that aims to use a scientific approach to extract meaning and insights from data. Generally, Data Science described as “a combination of information technology, modeling, and business management”. Industrieshave acknowledged the importance of the data science field and have created online data science graduate programs.
Machine learning, on the other hand, refers to a group of techniques used by data scientists that allow computers to learn from data. These techniques produce results that perform well without programming explicit rules.
Data science and machine learning are both very popular buzzwords today. These two terms are often thrown around together but should not be mistaken for synonyms. Although data science includes machine learning, it is a vast field with many different tools.
Machine learning creates a useful model or program by autonomously testing many solutions against the available data and finding the best fit for the problem. This means machine learning can be great for solving problems that are extremely labor intensive for humans. It can inform decisions and make predictions about complex topics in an efficient and reliable way.
Though it may sound obvious, data science relies on data. The massive growth of data science was spurred by the availability of massive datasets and cheap computing power. Only with these incredible resources is data science effective. Small datasets, messy data, and incorrect data can waste a lot of time, creating models that produce meaningless or misleading results. If the data doesn’t capture the actual cause of variation, data science will fail.
Courses Related to Data Science & Machine Learning
Python is a simple, general purpose, high level, and object-oriented programming language. Whether you are an experienced programmer or not, this course is intended for everyone who wishes to learn the Python programming language. Python is easy to learn yet powerful and versatile scripting language, which makes it attractive for Application Development. Python's syntax and dynamic typing with its interpreted nature make it an ideal language for scripting and rapid application development.
Data Science & ML
Data Science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data-driven decisions has never been greater. This Data Science course lets you master skills, such as Data Analytics, Algorithms, Machine Learning, Deep Learning, Neural Networks, Clustering, Computer Vision, and more. The complete course will be hands-on based on exercises and project work in the domains of banking, finance, entertainment, etc.
Full Stack Web Dev
The aim of the Full Stack Web Developer course is to equip you with the unique skills you need to build database-backed APIs and Web Apps which include HTML5, CSS, Servers, Frontend, Backend, Templating, and more. After completion of this program, you will be able to design and build databases for software applications, create and deploy database-backed web APIs, and secure & manage user authentication, access control for an application backend, and how to deploy a Flask-based web application.
Internet of Things
The Internet of Things, or IoT, refers to the billions of physical devices around the world that are now connected to the internet, all collecting and sharing data. With the arrival of cheap computer chips and the availability of wireless networks, it's possible to turn anything into a part of the IoT Ecosystem. An IoT ecosystem consists of web-enabled smart devices that use embedded systems, such as processors, sensors, and communication hardware, to collect, send and act on data they acquire from their environments.