Are there any course requirements or pre-requisites ?
- A working computer (with Windows)
- Basics of python programming
- Just some high school mathematics level
- Anaconda software
HERE IS WHY YOU SHOULD TAKE THIS COURSE:
This course your complete guide to both supervised & unsupervised learning using Python. This means, this course covers all the main aspects of practical data science and if you take this course, you can do away with taking other courses or buying books on Python based data science.
In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal..
By becoming proficient in unsupervised & supervised learning in Python, you can give your company a competitive edge and boost your career to the next level.
LEARN FROM AN EXPERT DATA SCIENTIST WITH +3 YEARS OF EXPERIENCE:
My name is Aakash Singh and I had also recently published my Research paper in an International journal IJSR on Machine Learning dataset.
This course will give you a robust grounding in the main aspects of machine learning- clustering & classification.
What Students will learn in this course ?
- Basics of machine learning on python
- Fundamental of machine learning
- Learn about different types of Machine Learning Algorithms
- Make accurate prediction On different data-sets by using machine learning.
- Make powerful analysis
- Know which machine learning model to choose for each type of problem
- Create Complex Visualization with Matplotlib
- Linear Regression,Logistic Regression,KNN,Decision Tree,Naive Bayes,Random Forest
Who are our Targeted students ?
- Anyone who wants to learn concept of machine learning
- Anyone who wants to learn machine learning
- student who have at least high school knowledge in math and who want to start learning Machine Learning
- Any student in college who want to start career in data science
- Any data analysts who want to level up in Machine Learning
