MACHINE LEARNING WITH PYTHON

---

•  Introduction 
•  Database 
•  Tables and Keys 
•  Basics of SQL 
•  Creating tables and Inserting values 
•  Constraints 
•  Update and Delete 
•  Aggregate Functions 
•  Additional Clauses 
•  Union and Joins 
•  ER Diagrams 
•  Summary 

•  Introduction
•  Basic programs in python 
•  Variables 
•  Operators 
•  Conditional statements 
•  Loops and Iteration 
•  Functions 
•  Strings 
•   Lists 
•  Tuple 
•  Dictionary 
•  Modules and packages 

•  Introduction to Machine Learning  
•  Libraries in python 
•  Data visualization and manipulation using pandas 
•  Data Exploration  
•  Types of Machine Learning 
•  Supervised Learning 
•  Unsupervised Learning 
•  Linear Regression 
•  Logistic Regression 
•  Decision Trees 
•  Random Forest 
•  K Nearest Neighbor 
•  Naive Bayes Classifier 
•  K Means Clustering 
•  Association Rule Mining 

Machine Learning can be referred to as a subset of Artificial Intelligence. Machine Learning refers to predicting outcomes on the basis of automatically learnt past data without programming explicitly. 

Python is a very flexible and easily understandable code which is very helpful for Machine Learning. It is concise and easily readable even to new developers and thus can help do a set of complex Machine Learning tasks and enables building prototypes for product testing in the Machine Learning process. 

Pandas refers to a Python package that provides high performance and easy to use data for the Python programming language. It is a perfect tool for wrangling and munging.

SciPy library contains modules for efficient mathematical routines. It’s main function is to build upon NumPy and its arrays. It has modules to perform common scientific programming Add an answer to this item.

Statistics and Machine Learning are two very closely related fields . Statistical methods like mean, median , etc can be used to prepare data ready for modeling . Probability acts as a medium in solving problems. It is an important factor in predictive analysis.

Data Pre processing refers to conversion of raw data into an understandable format. It also helps in analyzing data before Machine Learning.

Data Visualization helps in better qualitative understanding  through bar, Pie ,Data mapping ,etc.

 When a candidate is applying to a company for an Internship, the company expects in return that the candidate has the required skill set for the role, but not everyone has the right skills for the role and hence they miss the opportunity, but here in TCR Innovation we provide open opportunity for everyone to do Internship along with Training so that they acquire the right skills demanded by the Industry.
 

 This gives an opportunity to students who are willing to Learn, Grow and Inculcate the skill set required by the industry. Work in an environment where everyone comes with the same mindset of learning and self-growth and a doorway to a tremendous amount of opportunities.
 

 It gives you an opportunity to work with one of the best Mentors available in the domain, they give you Industrial Training so you acquire the right skills which are required for being a part of the Industry.