https://github.com/aliktk/machine_learning_chilla
This repository contains practice materials of Machine Learning with Python which are used to deliver online training course. The course was sponsered by codenics and Scholership Network, Pakistan.
https://github.com/aliktk/machine_learning_chilla
Last synced: 3 months ago
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This repository contains practice materials of Machine Learning with Python which are used to deliver online training course. The course was sponsered by codenics and Scholership Network, Pakistan.
- Host: GitHub
- URL: https://github.com/aliktk/machine_learning_chilla
- Owner: Aliktk
- Created: 2022-03-11T16:29:53.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2022-03-11T16:45:33.000Z (about 3 years ago)
- Last Synced: 2025-01-13T14:52:48.472Z (5 months ago)
- Size: 7.81 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Machine_Learning_Chilla_with_Baba_Aammar
## Machine Learning
# Student Details
+ **Name :** "Ali Nawaz"
+ **email :** "[email protected]", "[email protected]"
+ **Research Profile :** [Research Gate](https://www.researchgate.net/profile/Ali-Nawaz-14), [Google Scholar](https://scholar.google.com.br/citations?hl=en&user=oFzPPSMAAAAJ)
+ **Status :** Artificial Intelliegence Engineer at [XYLEXA](https://www.xylexa.com)
+ **Resources :** [YouTube Link](https://youtube.com/playlist?list=PL9XvIvvVL50HHzaLPtFBOuikAWa0JdhMW)
+ **Instructor :** Dr. Muhammad Ammar Tufail
# Overview
This repository contains practice materials on Machine Learning with Python, used to deliver online training course. The course was sponsered by **[codenics](http://codanics.com/)** and **[Scholership Network](https://www.facebook.com/groups/scholarships.pk/)**. **Pakistan**
This course is for everyone who want to make their carrer in Machine Learning. The instructor was **Dr. Ammar Tufail**.
__Objectives__:
1. Expand the cohort Students with intermediate-level Python skills;
2. Contribute to quality of Data Scientist Resources in Pakistan;
3. Non computer back ground can expand the Machine Learning Algorithms for their Papers using different libraries and modeling.
__Prerequisites and format__: Basic of Python programming language and Pandas, Numpy matplot experience is needed. The sessions will comprise short lecture-style teaching by the instructor, Interactive session and assignmnets session where every participants write code on their own laptops and show thier output.
__Participant outcomes__: With no coding knowledge before the course, participants should be able to access and combine a diverse set of datasets, conduct data exploration and visualization, utilize Python libraries for demographic, image data and machine learning, and be able to self-teach next steps in their specialized domain.
# Project work
To gain credit, participants are required to submit a complete set of assignments, notebooks compiled in one file or should be in detailed projects groups. The format is a Jupyter Notebook/PDF. The notebook should ingest, analyze and visualize data using Python, to address the real understaing of the students and need of the participant's.
# Running the scripts
Two methods:
* _Beginner method:_ Click the links to 'open notebook in Colab.' (no software installation required)
* _Preferred method:_ Install Anaconda Navigator from the software catalogue on eServices. Download the scripts (or clone the repository with Git) and load the notebooks (.ipynb files) in Jupyter Notebooks on your laptop.
* _Preferred method:_ After cloning open the terminal and run the below command if you are able to do it. Other wise install it manually.
**How To Make Vir-Enviroment using conda**
```python
conda create -n ml-chilla python=3.6
conda activate ml-chilla
```
Install the required libraries by using folllowing commands.
```python
pip install -r /path/to/requirements.txt
```
# Course Schedule
The course Started on 11th March 2022, Frinday Night on 9.30pm.
1. Fall 2022 8-week course
2. 11th March 2022 40-days course
3. **Note:** The Week will be 5 Days in this Chilla
|Week | Mode | Topics|
|----|----|----|
|**[Week 1](https://github.com/Aliktk/Python_Chilla/tree/main/Python_hands_on)**| Zoom | Installation of VS Code, First Line of code, Libraries, Python syntax, intro to control flow including Weekly Workshop. |
+ Materials in the repos can be freely with credit and giving start and fork operation.
+ This Repo will be refine with time.
-------------------------
#### **Materials developed by**
> **Ali Nawaz**
-------------------------