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Guidance You Seek
Advanced Machine Learning
Netkom Office, G10, Islamabad
About Machine Learning With Python
This course dives into the basics of machine learning using an approachable, and well-known programming language, Python.
In this course, we will be reviewing two main components:
First, you will be learning about the purpose of Machine Learning and where it applies to the real world.
Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms.
In this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed!
By just putting in a few hours a week for the next few weeks, this is what you’ll get.
1) New skills to add to your resume, such as regression, classification, clustering, sci-kit learn and SciPy
2) New projects that you can add to your portfolio, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more.
3) And a certificate in machine learning to prove your competency, and share it anywhere you like online or offline, such as LinkedIn profiles and social media.
Python is an object-oriented programming language notable for its clarity, power and flexibility.
Python is an interpreted language, meaning that an interpreter reads and runs the code directly, rather than compiling down into static lower level code.
While it is used in a variety of fields and contexts, including performance computing, Internet of Things, and full-scale web applications, it has gained particular popularity in the sciences and bioinformatics thanks to a rich catalog of tools such as iPython, Numpy, and Pandas.
Python is an interpreted language, meaning that an interpreter reads and runs the code directly, rather than compiling down into static lower level code.
While it is used in a variety of fields and contexts, including performance computing, Internet of Things, and full-scale web applications, it has gained particular popularity in the sciences and bioinformatics thanks to a rich catalog of tools such as iPython, Numpy, and Pandas.
What you’ll learn
- Write their own Python code according to the requirement
- Get strong knowledge of python basics and advanced topics
- Understand any python code and make modification
- Data Science Concepts With Python
Course content
Introduction To Python Programming Language
- Preview
- Welcome
- Basics
- Commenting
Variables and Data Types
- Variable
- User entered data
- Operators
- Basic Operators in python
Decision Making in Python
- If statement
- If-else statements
- Program to print odd or even
- Program to find vowel
- Find the greatest number
Looping Through With Python
- For Loop
- While Loops
- Program to print factorial of a number
- Program for multiplication table
- Multi multiplication table
- Exponential Program
- Break statement
- Continue statement
- Password Example program
Functions and Modules
- Functions and Modules
- User-defined functions
- Functions with arguments
- Creating modules and importing in our program
List, Tuple, and Dictionary
- List introduction
- List methods
- Tuples
- Dictionaries
Data Analysis with Pandas
- Getting Started with Pandas
- Loading Data in Python from CSV, Excel, TXT, and JSON Files
- Indexing and Slicing Data frames
- Dropping Data frame Columns and Rows
- Updating and Adding New Columns and Rows
Python – Machine Learning & Data Science – I
- NumPy with Python
- Using pandas Data Frames to solve complex tasks
- Use pandas to handle Excel Files
Python – Machine Learning & Data Science – II
- Use matplotlib and seaborn for data visualizations
- Use plotly for interactive visualizations
Python – Machine Learning & Data Science – III
- Python – Machine Learning with SciKit Learn, including
- Linear Regression
Project Building With AI Building Real World Applications with AI
- AI Dictionary with Python
- Making a Web Map of Volcanoes and Population with AI and Python
- Data Analysis and Visualization with Pandas and Matplotlib
Requirements
- No prior programming knowledge is required
- Only you need is the will to learn
Who this course is for:
- Who are interested in learning python programming
- Who wants to start their career in software industry
- Who want to become a Programmer
To become a machine learning engineer, you typically have to work your way up so you have enough education and work experience under your belt. Here’s a guideline to follow:
1. Complete your undergraduate degree
Acceptable degree options are math, data science, computer science, computer programming, statistics, or physics. An understanding of business is also helpful.
2. Entry-level careers
You typically can’t jump into a career as a machine learning engineer so some places to start are as a software engineer, software programmer, software developer, data scientist, or computer scientist.
3. Earn your master’s degree and/or PHD.
The majority of machine learning engineer jobs require more education than an undergraduate degree. Aim to receive a master’s degree in data science, computer science, software engineering, or even a PHD in machine learning.
4. Keep learning
A career as a machine learning engineer means that your education never ends. As technology continually grows, your need to always be researching AI and understand new technologies becomes even more important. A great deal of leadership skills is also useful.
Fact: Not all organizations can justify a full-time machine learning engineer, so a career as a freelancer is also a good option.
Skills Required:
- Programming
- Probability & statistics
- Data modeling
- Machine learning algorithms
- System design
1. Complete your undergraduate degree
Acceptable degree options are math, data science, computer science, computer programming, statistics, or physics. An understanding of business is also helpful.
2. Entry-level careers
You typically can’t jump into a career as a machine learning engineer so some places to start are as a software engineer, software programmer, software developer, data scientist, or computer scientist.
3. Earn your master’s degree and/or PHD.
The majority of machine learning engineer jobs require more education than an undergraduate degree. Aim to receive a master’s degree in data science, computer science, software engineering, or even a PHD in machine learning.
4. Keep learning
A career as a machine learning engineer means that your education never ends. As technology continually grows, your need to always be researching AI and understand new technologies becomes even more important. A great deal of leadership skills is also useful.
Fact: Not all organizations can justify a full-time machine learning engineer, so a career as a freelancer is also a good option.
Skills Required:
- Programming
- Probability & statistics
- Data modeling
- Machine learning algorithms
- System design
Course Details
Why Join Netkom Learning?
- Accredited from Python.org
- Qualified & Experience Trainer
- Lifetime Support
- Extensive Study Resources
- Result Oriented Mock Exams
- Largest Employer Network
- Life Time Community Membership
Testimonials
I did PMP exam preparation from Netkom Learning and it was an exceptional experience. Honestly, I was very skeptical earlier either to enroll in this course or not as I have heard many rumors about PMP preparation as most of the educational institute fails to deliver what needed to clear exam. However, I am glad that I enrolled in Netkom for this course. My experience went exceptional. The training approach is completely practical and the trainer is highly professional and possesses knowledge and skills that needed to clear PMP exam in 1st attempt.
I consider Netkom Learning as one of the best training institute in Pakistan where you can learn from practitioners and real strategists. For me enrolling for data science is the best decision of my life. My instructor is passionate and keen to teach not just base on his experience but also about the world’s best practices in different sectors. What I find best about Netkom is their case study approach where they share real time client’s cases to help us understand concepts and scenarios of the modern world. I highly Recommend Netkom Learning. You can blindly trust them.