You will get : I will build a machine learning and classification model in Python

Abhishek S.Status: Offline
Abhishek S.

Let a pro handle the details

Buy Machine Learning services from Abhishek, priced and ready to go.
Abhishek S.Status: Offline
Abhishek S.

Let a pro handle the details

Buy Machine Learning services from Abhishek, priced and ready to go.

Project details

I build fully deployed (working) custom machine learning classification models using Python, scikit-learn, and pandas. Just share your CSV and tell me what you want to predict — I handle everything else: data cleaning, exploratory analysis, feature engineering, model training, and a full evaluation report.


My recent project achieved 88% accuracy on a real-world loan approval dataset comparing multiple models. I deliver clean, well-commented Jupyter notebooks so you can understand and reuse the code.


Whether you need to predict customer churn, fraud detection, loan approval, disease diagnosis, or any yes/no outcome — I've got you covered. Clear communication throughout, on-time delivery, guaranteed.
Machine Learning Tools
NumPy, pandas, Python, Python Scikit-Learn, SciPy, SQL
What's included
Service Tiers Starter
$30
Standard
$60
Advanced
$100
Delivery Time 2 days 3 days 5 days
Number of Revisions
123
Number of Model Variations
133
Number of Scenarios
123
Number of Graphs/Charts
258
Model Validation/Testing
Model Documentation
-
Data Source Connectivity
-
-
Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$10 - $15
Additional Revision
+$10
Additional Model Variation (+ 1 Day)
+$15

Frequently asked questions

Abhishek S.Status: Offline

About Abhishek

Abhishek S.Status: Offline
ML & Deep Learning Developer | PyTorch | NLP | DATA Analysis | AI
Kanpur, India - 8:49 pm local time
I'm a machine learning developer with hands-on experience building end-to-end AI solutions using Python and PyTorch. My recent projects include a loan approval prediction system that compares multiple classifiers (Logistic Regression, Naive Bayes, KNN) achieving 88% accuracy, a customer segmentation engine using K-Means clustering and PCA for a retail dataset of 2,200+ customers, and an IMDB sentiment classifier built with a custom RNN in PyTorch reaching 85% test accuracy. I specialise in the full ML pipeline — data cleaning, EDA, feature engineering, model training, and evaluation. I'm detail-oriented, communicative, and committed to delivering clean, well-documented code. If you need a reliable developer to turn your data into actionable insights or build a working ML model, I'd love to help. Let's talk.

Steps for completing your project

After purchasing the project, send requirements so Abhishek can start the project.

Delivery time starts when Abhishek receives requirements from you.

Abhishek works on your project following the steps below.

Revisions may occur after the delivery date.

Explore and clean your dataset, handle missing values and outliers.

Engineer features and train multiple ML models.

Review the work, release payment, and leave feedback to Abhishek.