You will get a complete machine learning model from scratch using python

Project details
I will provide a complete machine learning model solution from scratch without using any built-in library. Model includes K-means clustering, Decision tree, Naive bayes, Support vector machine, Perceptron, Linear regression and Poly nomial linear regression.
What's included $150
These options are included with the project scope.
$150
- Delivery Time 1 day
- Number of Revisions 1
- Number of Model Variations 0
- Number of Scenarios 1
- Number of Graphs/Charts 1
- Model Validation/Testing
- Model Documentation
- Source Code
80 reviews
(77)
(1)
(1)
(1)
(0)
This project doesn't have any reviews.
AS
Abir S.
Oct 3, 2023
Machine Learning
AA
ABDALMANEM A.
Oct 28, 2022
NLP for tweets classification
SK
Saro K.
Sep 11, 2022
Code and Research article
Great experience
AD
Abdulnour D.
Dec 15, 2021
Need someone experienced in data structures and algorithms.
VK
Vasileios K.
Dec 14, 2021
You will get a solution of data science project with machine learning
I was very satisfied with Waseem's work. He is very skillful.
He completed a Machine Learning project in 2 days and was very helpful and responsive.
He completed a Machine Learning project in 2 days and was very helpful and responsive.
About Waseem
Data Scientist, AI Engineer, LLM Engineer, Gen Engineer
Islamabad, Pakistan - 9:04 am local time
My work combines cutting-edge research with practical deployment of machine learning solutions.
My published and research work includes:
• Real-time safety surveillance systems for industrial environments using YOLO, RT-DETR, Faster R-CNN, and deep learning-based computer vision
• Unsupervised clustering of industrial acoustic signals using Variational Autoencoders and deep embedding methods
• AI-based predictive frameworks for industrial monitoring and optimization using XGBoost, neural networks, and self-organizing maps
• Drone image-based crop health and Leaf Area Index estimation using machine learning and deep learning feature extraction
• Advanced music AI research, including ChordFormer / transformer-based architectures for large-vocabulary chord recognition and audio sequence modeling
• Signal processing, feature extraction, and multimodal deep learning systems
I have strong hands-on experience in:
• Python
• PyTorch
• TensorFlow / Keras
• OpenCV
• Computer Vision
• Object Detection and Segmentation
• Audio and music signal processing
• Transformer / Conformer / ChordFormer models
• Time-series forecasting
• Deep learning feature extraction
• Unsupervised learning and clustering
• Predictive modeling and optimization
My experience spans both research and production-ready development, enabling me to design scalable, high-performance AI solutions tailored to complex real-world problems.
I would be happy to discuss your project requirements and help develop the best possible solution.
Steps for completing your project
After purchasing the project, send requirements so Waseem can start the project.
Delivery time starts when Waseem receives requirements from you.
Waseem works on your project following the steps below.
Revisions may occur after the delivery date.
Data Preprocessing
I will perform data preprocessing technique like data cleaning and data manipulation
Model implementation
I will implement your model from scratch without using any library.