CNC Programming for Machining, Data Science and Machine Learning

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This CNC Programming for Machining, Data Science and Machine Learning Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments.

CNC Programming for Machining, Data Science and Machine Learning

• Scope of the Course
• Numerical Control of Machine Tools
• Computer Numerical Control Syst
• Components of Computer Numerical Control Syst
• Point-to-Point Computer Numerical Control Syst Machines
• Incremental & Absolute Computer Numerical Control Syst Machines
• Open & Close Control Loop Computer Numerical Control Syst Machines
• 2 &3 Axes Computer Numerical Control Syst Machines
• Importance of Higher axes Machining
• Programming Format
• Cartesian Coordinate System
• How to Write a Program
• Basic Programming (Absolute Mode)
• Basic Programming (Incremental)
• A Simple Coding Exercise
• Applications of Computer Numerical Control Syst

**Data Science and Visualisation with Machine Learning**

• Welcome, Course Introduction & overview, and Environment set-up
• Python Essentials
• Python for Data Analysis using NumPy, Pandas
• Python for Data Visualization using matplotlib, Seaborn, pandas
• Python for interactive & geographical plotting using Plotly and Cufflinks
• Capstone Project - Python for Analysis & Visualization
• Python for Machine Learning (ML) - scikit-learn - Linear Regression Model
• Python for Machine Learning - scikit-learn - Logistic Regression Model
• Python for Machine Learning - scikit-learn - K Nearest Neighbors
• Python for Machine Learning - scikit-learn - Decision Tree and Random Forests
• Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs)
• Python for Machine Learning - scikit-learn - K Means Clustering
• Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA)
• Recommender Systems with Python - (Additional Topic)
• Python for Natural Language Processing (NLP) - NLTK - (Additional Topic)
• Resources

**Python 3 Programming**

Section 01

• Welcome to Python 3 course!
• Why you should learn Python 3
• Installing Python 3 on Windows
• Installing Python3 on Ubuntu and Mac
• Taking a closer look at Python 3 IDLE

Section 02

• Math operators
• Strings
• Variables and variable naming rules
• Our first program!
• Type, Len, Str, Int, Float , functions
• True or false Boolean
• IF statement
• IF & ELSE
• Using ELIF for multiple statements
• While loop
• Using Continue in a loop
• FOR loop
• Importing Python libraries

Section 03

• Defining functions in Python 3
• Local and global variables
• Coding guess the number program
• Reverse a string function
• Calculate area of a circle program
• Simple Python calculator
• Removing vowels from string program
• Find the largest number out of three

Section 04

• Python 3 lists
• Creating smaller out of bigger list
• Manipulating lists and elements
• Append, insert, remove, sort
• Tuples
• Introduction to dictionaries
• Values, keys, items, get
• Dictionary comprehension – part 1
• Dictionary comprehension – part 2
• Advance string manipulation
• Upper(), lower(), isupper(), islower()
• Split, strip, join, startswith, endswith

Section 05

• Navigating through system with OS library
• Reading and writing to files
• Reversing text from a file

Section 06

• Try and except

Section 07

• Classes
• Changing class attributes
• Built in class attributes
• Using your class in a different program
• Using your class in a program
• Implementing students count option
• Class inheritance
• Overriding methods in a class

Section 08

• Printing and calculating date and time
• Different date formats

Section 09

• Regex – part 1
• Regex – part 2

Section 10

• Performing HTTP GET request
• Performing post request
• Handling website redirections
• BeautifulSoup
• Encoding in requests
• Session and cookies
• SSL certificate, authentication
• Json library and proxies

Section 11

• Socket terminology
• Connecting two machines
• Coding a chat program
• Socket Timeout and Options
• UDP Server & Client
• AF_UNIX & Raw sockets

Section 12

• Theory Behind Threaded Server
• Thread & Threading

Section 13

• Sending Emails Using SMTPlib
• PDF Files
• Images In Python

This CNC Programming for Machining, Data Science and Machine Learning course is suitable for —

• Students
• Recent graduates
• Job Seekers

There is no formal qualification needed for this CNC Programming for Machining, Data Science and Machine Learning course.

You will be able to achieve a lucrative career because this CNC Programming for Machining, Data Science and Machine Learning Bundle includes various courses as a bonus.

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