Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems.
What You Will Learn
parametric/non-parametric algorithms, support vector machines, kernels, neural networks.
clustering, dimensionality reduction, recommender systems, deep learning.
Best practices in machine learning
bias/variance theory; innovation process in machine learning and AI.
Watch our "5 min Quick Introduction"
- Difference Between Python 2 and Python 3
- Print function and strings
- Math function and programming basics.
- Variables and Loops introduction
- Loops detailed
- Functions and Function Parameters
- Global and Local Variables
- Packages and Modules with PIP
- Writing/Reading/Appending to a file
- Common pythonic errors
- Getting user Input
- Stats with python
- Module Import
- List and Multidimensional lists
- Reading from CSV
- Multi Line Print
- Built in functions
- Built in Modules
- Regular expression
- cx freeze
- Matplotlib intro
- Introduction to pandas
- pandas basics
- concatenating and appending dataframes.
- Joining and merging dataframes.
- What is Machine Learning
- Difference between a rule based algorithm and a machine learning algorithm.
- Supervised vs Unsupervised learning.
- Classification vs Regression
- Practical Machine Learning
- Training and testing Data
- features and labels
- pickling and scaling
- Linear Regression
- Forecasting and prediction using regression
- Logistic Regression
- K-NN classification
- Support Vector Machines
- K-Means Clustering
- Random Forest
- Implementation of all the algorithms using SKlearn.
- Introduction to NLTK
- Named entity recognition
- Text classification
- Sentiment analysis
What you will get
- Internship letter from Verzeo
- Guaranteed Internship offers from tied up companies
- Opportunity to be taught by Certified Professionals.
- Opportunity to work on Major and Minor Projects
mentored by the Corporate Trainers.
- Gaining access to exclusive course content, etc., as part of
- Total of 2 projects, one major and one minor will be completed by the students under Mentor
- Microsoft Technology Associate Completion Certificate on Python.
- MTA certificates signed by the CEO of Microsoft, Satya Nadella.
- Internship Certificate from Verzeo