Machine learning is the Subject which getting computers to act after programmed. In the past time machine learning has self driving car, bike, any other device, vastly improved understanding of human. There are many things about the cyber security and to link with the advance level of programming e.g python. Now a days machine learning and python will be the awesome combination in IT scenario and Banking sector. Before machine learning candidate should know the python language and before python, candidate should know the c programming.
# Python Program(Day1) # Python Identifiers(Day2) # Python Keywords Lines and Indentation Multi-Line Statements Quotation in Python (Day3) # Python Comments in Python Multiple Statements on a Single Line Command Line Arguments(Day4)
# Assigning Values to Variables (Day5)
# Multiple Assignment(Day6)
# Standard Data Types(Day7)
# Python Numbers(Day8)
# Python Strings(Day9)
# Python Lists Data Type Conversion(Day10)
# If…else Statement(Day11)
# The elif Statement
# While Loop
# Break Statement
# Continue Statement
# The Infinite Loop
# For Loop
# Define a Function
# Calling a Function
# Passing by Reference Vs Passing by Value
# Global vs. Local variables
# Locating Modules Packages in Python
# Difference between machine learning and Artificial intelligence
# Talking about data
# Installation of anaconda and path setting
# Tsv vs csv
# Data manipulation using pandas
# Data frame handling
# Dara series
# visualisation using mathplotllib
# seaborn over mathplotlib
# Introduction to numpy
# What Is A Python Numpy Array?
# Creating numpy array
# Introducing nd array
# Understand the data
# What is machine learning?
# Relation between machine learning and data analysis
# Introduction to sci-py
# Introduction to scikit-learn
# Introduction to regression problems
# Linear Regression
# Logistic Regression
# Polynomial Regression
# Decision Trees Regression problem
# Introduction to classification problems
# Classification problems with python
# What is cluttering?
# How could we handle this?
# Image processing using minist package
Machine learning is a technique of information analysis that automates analytical model building.” In alternative words, it permits computers to search out perceptive data while not being programmed wherever to seem for a specific piece of information; instead, it will this by using algorithms that iteratively learn from data.
So, put simply, the iterative side of machine learning is the ability to adapt to new information. this can be possible as programs learn from previous computations and use “pattern recognition” to provide reliable results.
Machine Learning and AI are speedily turning into crucial aspects of the technology landscape these days, and it’s nice that you’re fascinated about learning about them. At a high level, machine learning will be represented as a kind of computer science that enables computers to boost or “learn” from the frequency of playacting an activity. They acknowledge patterns and are ready to improve while not being re-programmed anytime they complete an activity or request.
There are several things regarding cybersecurity and to link with the advance level of programming e.g. python. Currently, machine learning and python are going to be the perfect combination in IT and Banking sector. Before the machine learning candidate should know the python language and before python, the candidate should know the c programming.