CNC Programming for Machining, Data Science and Machine Learning

24 Hour Flash Deal **15-in-1 CNC Programming for Machining, Data Science and Machine Learning Mega Bundle**

►►► Enrolment Gifts ◄◄◄ **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter **

Take the initial steps toward a successful long-term career by studying the CNC Programming for Machining, Data Science and Machine Learning course package online with Studyhub through our online learning platform. By finishing this CNC Programming for Machining, Data Science and Machine Learning Bundle, you'll have depth understanding and employable abilities. A certificate is also included, which can improve your resume and make you more marketable. The CNC Programming for Machining, Data Science and Machine Learning Bundle is a great way to develop your career, in conclusion. What are you searching for then? Enrol immediately in this Bundle and start learning every piece of information related to the topic!

Why Choose Our CNC Programming for Machining, Data Science and Machine Learning Course?

• Step-by-step lessons
• One-to-one assistance from professionals if you need it
• Innovative exams to test your knowledge after the course
• 24/7 customer support should you encounter any hiccups
• Unlimited lifetime access to all 15 courses
• Digital Certificate, Transcript and student ID are all included in the price

This CNC Programming for Machining, Data Science and Machine Learning Bundle consists of the following career-oriented courses:

• ➤ Course 01: Data Science and Visualisation with Machine Learning
• ➤ Course 02: Python 3 Programming
• ➤ Course 03: Introduction to Data Analysis
• ➤ Course 04: CNC (Computer Numerical Control) Programming for Machining
• ➤ Course 05: jQuery Masterclass Course: JavaScript and AJAX Coding Bible
• ➤ Course 06: Google Analytics
• ➤ Course 07: Google Ads Training
• ➤ Course 08: Data Analytics with Tableau
• ➤ Course 09: SQL For Data Analytics & Database Development
• ➤ Course 10: Clinical Data Analysis with SAS
• ➤ Course 11: Building Big Data Pipelines with PySpark MongoDB and Bokeh
• ➤ Course 12: Microsoft Azure Machine Learning
• ➤ Course 13: Machine Learning Course with Python
• ➤ Course 14: Data Analysis and Forecasting in Excel
• ➤ Course 15: Raspberry Pi Bootcamp

This CNC Programming for Machining, Data Science and Machine Learning Bundle has been prepared by focusing largely on career readiness.

Certification

Following your completion of the CNC Programming for Machining, Data Science and Machine Learning course materials, you will be able to take an assignment test to assess your knowledge. You will be able to grab the PDF certificates & transcripts for free after passing the test. Original Hard Copy certificates must be bought separately for an extra £8.

Certificate of completion

Digital certificate - Included

Quality Licence Scheme Endorsed Certificate of Achievement

Hard copy certificate - Included

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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