You will get an end to end machine learning system in python
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Project details
☞ What Models types do I provide?
✅ Supervised Models.
➤ Classification Models.
➤ Regression Models.
✅ Unsupervised Models.
➤ Clustering
➤ NLP (BERT, GPT-3, T5, word2Vec, GloVe, NNLM, MLM, RoBERTa)
➤ Image Preprocessing, and Computer Vision (ResNet, EfficientNet, Inception, Inception-ResNet)
✅ Semi-Supervised Models.
➤ Text Classification (DistilBERT)
✅ Time-series Models.
➤ RNN, ConvRNN, ConvLSTM, S2S LSTM, Auto-encoder LSTM, ARIMA
☞ What Programming Tools do I use?
(A) For Data Preprocessing & Analysis
❉ Pandas
❉ Numpy
❉ Matplotlib/Seaborn/Plotly
❉ Tensorflow (TF.Data API)
❉ Tensorflow Data Validation (TFDV)
❉ TFX (Tier 03 ONLY)
(B) For Modeling
❉ Scikit-Learn
❉ Tensorflow
❉ NLTK
❉ OpenCV
❉ Tensorhub
❉ Hugging Face
❉ TFX (Tier 03 ONLY)
(C) For Measuring & Monitoring (Tier 03 ONLY)
❉ Tensorboard
❉ Weight & Biases
❉ MLflow
❉ Tensorflow Model Analysis (TFMA)
❉ What-If-Tool (WIT)
(D) Containeraize & Composition (Tier 03 ONLY)
❉ Docker
❉ Kubeflow
(E) Inferencing
❉ Google Cloud (Tier 03 ONLY)
❉ Google Colab
(F) Interface (Tier 02 & Tier 03 ONLY)
❉ Dash
✅ Supervised Models.
➤ Classification Models.
➤ Regression Models.
✅ Unsupervised Models.
➤ Clustering
➤ NLP (BERT, GPT-3, T5, word2Vec, GloVe, NNLM, MLM, RoBERTa)
➤ Image Preprocessing, and Computer Vision (ResNet, EfficientNet, Inception, Inception-ResNet)
✅ Semi-Supervised Models.
➤ Text Classification (DistilBERT)
✅ Time-series Models.
➤ RNN, ConvRNN, ConvLSTM, S2S LSTM, Auto-encoder LSTM, ARIMA
☞ What Programming Tools do I use?
(A) For Data Preprocessing & Analysis
❉ Pandas
❉ Numpy
❉ Matplotlib/Seaborn/Plotly
❉ Tensorflow (TF.Data API)
❉ Tensorflow Data Validation (TFDV)
❉ TFX (Tier 03 ONLY)
(B) For Modeling
❉ Scikit-Learn
❉ Tensorflow
❉ NLTK
❉ OpenCV
❉ Tensorhub
❉ Hugging Face
❉ TFX (Tier 03 ONLY)
(C) For Measuring & Monitoring (Tier 03 ONLY)
❉ Tensorboard
❉ Weight & Biases
❉ MLflow
❉ Tensorflow Model Analysis (TFMA)
❉ What-If-Tool (WIT)
(D) Containeraize & Composition (Tier 03 ONLY)
❉ Docker
❉ Kubeflow
(E) Inferencing
❉ Google Cloud (Tier 03 ONLY)
❉ Google Colab
(F) Interface (Tier 02 & Tier 03 ONLY)
❉ Dash
What's included
| Service Tiers |
Starter
$99
|
Standard
$299
|
Advanced
$899
|
|---|---|---|---|
| Delivery Time | 3 days | 14 days | 30 days |
Number of Revisions | 0 | 2 | 4 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$49 - $1,195
Additional Scenario
(+ 3 Days)
+$100
Additional Graph/Chart
(+ 2 Days)
+$100
Model Documentation
(+ 2 Days)
+$200
Explaining Pipeline
+$50Frequently asked questions
24 reviews
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GP
Gianrene P.
Jul 12, 2025
30 minute consultation
GP
Gianrene P.
Apr 15, 2025
30 minute consultation
Seems very knowledgeable from the brief exchange we had. I would go into a project with him
AP
Aboturki P.
Jan 5, 2025
Improving Arabic Multilabel emotion classification accuracy
I had the pleasure of working with Ahmed on my recent project his dedication and professionalism are truly commendable. Ahmed adhered strictly to the milestones we set, ensuring that each phase of the project was completed on time and to a high standard. I would highly recommend him to anyone looking for a reliable freelancer.
Appreciate his work and looking forward to work with him in future.
Appreciate his work and looking forward to work with him in future.
NI
Nelson I.
Jan 10, 2023
30 minute consultation
Very helpful and insightful
BB
Brandon B.
Dec 14, 2022
gpt 3 project
great work, will hire again!
About Ahmed
AI Researcher Eng | AI Quant Researcher| Data Scientist | ML | DL | RL
100%
Job Success
Alexandria, Egypt - 10:25 pm local time
As a hybrid Machine Learning Research Engineer and Quantitative Finance Researcher, I harness cutting-edge AI and data-centric financial strategies to propel projects to new heights. My twin passions for AI application and financial innovation enable breakthrough solutions.
🔍 Skills & Expertise:
- Machine Learning: Leveraging state-of-the-art libraries and models such as PyTorch, GPT-4, LLaMA, Mistral, and Falcon to develop intelligent machine-learning solutions.
- Quantitative Finance: Specializing in Financial Mathematics, I excel in building Quantitative Models, integrating Ensemble Methods, and utilizing Meta-Labeling techniques for nuanced financial predictions.
- Strategic Planning & Data Science: Drawing on advanced statistical techniques and data insights for strategic, data-driven decision-making.
🏆 Key Accomplishments:
🌟 Certifications: Endorsed as a Professional Machine Learning Engineer by Google Cloud and a Data Scientist by IBM, I code with industry-leading precision.
🏅 Pioneering Machine Learning Projects: Delivered impactful results across disciplines, including NLP, computer vision, and reinforcement learning with the latest AI models.
💹 Advanced Financial Algorithm Development: Mastered using Meta-Labeling, Ensemble Models, Alternative Data Design Patterns, and Fractionally Differentiated Features, combining physics and mathematics for cutting-edge time-series analysis.
🎓 Educational Background:
- M.S. in Information Systems: Specializing in Stochastic Dimensionality Reduction for sophisticated investment decision-making.
- Professional Certifications: Renowned Google Cloud and IBM accreditation in AI and Data Science.
🌟 Portfolio Highlights:
🤖 Frontline AI Development: Employed top-tier LLM models such as GPT-4, LLaMA, and others for advanced chatbot systems, intelligent content generation, and deep NLP analytics.
🔍 Groundbreaking Computer Vision Innovations: Developed exceptional Image Classification, Object Detection, and Generative Modeling solutions.
🕹️ Reinforcement Learning Strategy: Implemented modern reinforcement learning techniques for adaptable and forward-thinking algorithmic models.
📊 Quantitative Finance Research: Conducted sophisticated market research using signal processing techniques, Meta-Labeling, and analysis of Fractionally Differentiated Features for unparalleled insights into financial time-series data.
Steps for completing your project
After purchasing the project, send requirements so Ahmed can start the project.
Delivery time starts when Ahmed receives requirements from you.
Ahmed works on your project following the steps below.
Revisions may occur after the delivery date.
Reviewing the code
A Freelancer will have test time to test the system provided to the client.