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You will get a custom machine learning model trained on your data
Project details
Exploratory Data Analysis (EDA) and Machine Learning models can help your business to grow up with insights that only intuition can't do.
If you need to forecast sales for a product 2 months from now or just want to understand better what features are attracting or repelling new customers from your service, data analysis and machine learning it's the right way to go.
If you need to forecast sales for a product 2 months from now or just want to understand better what features are attracting or repelling new customers from your service, data analysis and machine learning it's the right way to go.
Machine Learning Tools
NumPy, pandas, PyTorch, scikit-learn, SciPyWhat's included
| Service Tiers |
Starter
$30
|
Standard
$50
|
Advanced
$70
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 3 | 3 | 3 |
Number of Model Variations | 18 | 19 | 20 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10Frequently asked questions
About Thiago
AI/ML Engineer | Image Synthesis | Voice Cloning | ChatGPT
Indaiatuba, Brazil - 11:45 pm local time
🏆 5+ years of experience - Senior AI/ML Engineer
🎖️ Certified by Coursera - Applied Machine Learning
📅 Available to start the same day you first text me!
🚀 OPEN FOR A NEW PROJECT 🚀 Any Coding / AI task 🚀 Any Domain 🚀 Quality and Deadline Driven 🚀 Flexible working hours 🚀 Daily Progress Updates 🚀 Solutions within ANY budget
⭐️ Would love to chat more about your project!
𝐌𝐘 𝐒𝐊𝐈𝐋𝐋𝐒:
• Text-to-image Synthesis;
• Text-to-video Synthesis;
• Image-to-video Synthesis;
• Realistic Face Swap Techniques;
• Image Generation with Readable Text Content;
• Custom LoRA Training for Image Generation;
• Realistic Voice Cloning for Speak & Singing;
• Text-to-speech with Realistic Emotion Control;
• Prompt Engineering for LLMs;
• Custom LoRA Training for LLMs;
• LLM-based Custom Agent Deploying;
• Tabular Data Analysis & Modeling;
• Time-series Data Forecasting;
• Complex Networks & Graph-based Analysis;
• Deploying Reinforcement Learning AI Agents;
𝐓𝐇𝐄 𝐌𝐀𝐈𝐍 𝐓𝐎𝐎𝐋𝐒 𝐈 𝐔𝐒𝐄:
• Python
• Pytorch
• NumPy
• Pandas
• Seaborn
• Matplotlib
• Networkx
• Scikit-Learn
• Statsmodels
• Stable Diffusion + ControlNet
• Stable Video Diffusion
• Realistic Voice Cloning (RVC)
• Bark (Text-to-audio Model)
• LangChain
• Pearl (𝐏roduction-r𝐄𝐀dy 𝐑einforcement 𝐋earning Agent)
• Proactive approach and over-delivering mindset
• Effective communication
• Kindness, Respect & Empathy
✅ Have any questions? Feel free to contact me! I'll unravel the complexities of your project.
𝐌𝐘 𝐖𝐎𝐑𝐊𝐈𝐍𝐆 𝐇𝐎𝐔𝐑𝐒:
🏠 Available from 9 am - 10 pm (GMT+3) - In Brazil, São Paulo at the moment 🇧🇷
Monday – Friday
🔑 𝐊𝐄𝐘𝐖𝐎𝐑𝐃𝐒:
Python, Generative AI, LLM, GPT, Stable Diffusion, AI Image Editing, AI Video Editing, AI Image Generation, AI Video Generation, Deep Learning, Machine Learning, Natural Language Processing, NLP, Neural Networks, Deep Neural Networks, Transfer Learning, Computer Vision, Image Recognition, Video Analysis, Image Processing, Video Processing, Image Synthesis, Video Synthesis, Text Generation, Text-to-Image Synthesis, Text-to-Video Synthesis, Language Modeling, OpenAI, GPT-3.5, GPT-4, ChatGPT, Large Language Models, Artificial Intelligence, AI Programming, Python Programming, Data Science, Data Analysis, Data Visualization, Data Manipulation, NumPy, Pandas, Matplotlib, TensorFlow, PyTorch, Keras, Scikit-learn, Jupyter Notebooks, Machine Translation, Speech Recognition, Reinforcement Learning, Generative Adversarial Networks, GANs, Style Transfer, Image Super-Resolution, Image Segmentation, Object Detection, Pose Estimation, Optical Character Recognition, OCR, Facial Recognition, Emotion Recognition, Video Anomaly Detection, Image Captioning, Video Captioning, Image Inpainting, Video Inpainting, Attention Mechanism, Transformers, BERT, XLNet, DistilBERT, T5, Text Classification, Sentiment Analysis, Named Entity Recognition, Autoencoders, Variational Autoencoders, Image-to-Image Translation, Zero-Shot Learning, Few-Shot Learning, Explainable AI, Model Interpretability, Adversarial Attacks, Robustness, Bias in AI, Fairness in AI, Ethical AI, AI Governance, AI for Creative Purposes, Artistic AI, Neural Style Transfer, DeepDream, Image Remixing, Video Remixing, AI-driven Content Creation, Content Generation, Creative Coding, AI-based Interactive Art, Augmented Reality, Virtual Reality, Ethics in AI, Responsible AI, AI Research, AI Applications, AI Development, AI Trends, Cutting-edge AI, Emerging Technologies, Technology Innovations.
Steps for completing your project
After purchasing the project, send requirements so Thiago can start the project.
Delivery time starts when Thiago receives requirements from you.
Thiago works on your project following the steps below.
Revisions may occur after the delivery date.
Exploratory Data Analysis (EDA)
First, I will analyze your data to get some insights about the feature relationships and some hidden data structures. In this step, we can get some useful insights, like the relevance of each variable for solving our specific problem
Data Preprocessing
After the EDA step, I will use the new insights that we got to preprocess the data before we put it in real machine-learning models. This step includes traditional techniques like One-hot encoding and Polynomial Feature Engineering.