You will get Full House Solution of Machine Learning
Project details
The objective of this project is to develop a machine learning model that can accurately predict future trends and outcomes based on historical data. The model will be trained on a large dataset, using advanced algorithms and techniques such as regression analysis, decision trees, random forests, and neural networks.
The project will start with data pre-processing and exploratory data analysis to gain insights into the data. The next step will be feature engineering and model selection, where the most appropriate ML algorithms will be selected and optimized. Finally, the model will be validated and tested on a hold-out dataset to ensure its accuracy and reliability.
The end result will be a robust and scalable ML model that can be deployed to provide predictive analytics and support data-driven decision-making. The model will be designed to handle large amounts of data and will be easily updatable as new data becomes available.
The project will start with data pre-processing and exploratory data analysis to gain insights into the data. The next step will be feature engineering and model selection, where the most appropriate ML algorithms will be selected and optimized. Finally, the model will be validated and tested on a hold-out dataset to ensure its accuracy and reliability.
The end result will be a robust and scalable ML model that can be deployed to provide predictive analytics and support data-driven decision-making. The model will be designed to handle large amounts of data and will be easily updatable as new data becomes available.
What's included
| Service Tiers |
Starter
$500
|
Standard
$800
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 1 day | 1 day | 1 day |
Number of Revisions | 0 | 0 | 0 |
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 | - | - |
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AM
Afnan M.
Oct 28, 2024
Expert Needed for Content Moderation System Enhancement to Prevent Information Sharing
Working with Danial has been an absolute pleasure! They demonstrated exceptional expertise in NLP and developed a highly effective and efficient model for our Lifti App. The model not only met but exceeded our expectations in terms of accuracy and functionality.
Throughout the project, they showed excellent communication skills, keeping us updated at each milestone and explaining complex NLP concepts in an easy-to-understand manner. Their commitment to delivering quality work on time was impressive, and they proactively offered valuable insights that enhanced the final outcome.
I highly recommend Danial to anyone seeking a skilled NLP expert who delivers top-notch results. We’re excited to see the positive impact of their work on our app, and we look forward to collaborating on future projects!
Throughout the project, they showed excellent communication skills, keeping us updated at each milestone and explaining complex NLP concepts in an easy-to-understand manner. Their commitment to delivering quality work on time was impressive, and they proactively offered valuable insights that enhanced the final outcome.
I highly recommend Danial to anyone seeking a skilled NLP expert who delivers top-notch results. We’re excited to see the positive impact of their work on our app, and we look forward to collaborating on future projects!
OE
Oscar E.
Oct 25, 2024
Data Science projects related to public storage
SP
Shubham P.
Sep 4, 2024
Healthcare Data Forecasting Specialist Needed
It's Great to work with Danial, as he has very good knowledge and experience in the Data And AI part, looking forward to working with you soon.
KD
Krishak D.
Feb 16, 2024
Data scientist
I really like his work, He is skilled in his work, I like to work with him again.
MF
Mike F.
Feb 21, 2023
Machine Learning
The freelancer was quick to seek clarification and followed all the instructions available for the model to the later. I will sure recommend them.
About Muhammad Danial
Expert Data Scientist | AI Engineer | NLP | GEN AI | LLM
77%
Job Success
Karachi, Pakistan - 1:31 am local time
I’ve helped businesses tackle these exact issues.
As a Data Scientist and Machine Learning Engineer with 𝟕+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐡𝐚𝐧𝐝𝐬-𝐨𝐧 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞, I focus on practical solutions like churn prediction, A/B testing, and using machine learning models like NLP, CNN, and decision trees. I work with tools like Python, SQL, and TensorFlow to help businesses turn data into insights and get real results.
𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞:
✅ Data Science & Machine Learning
- Churn Prediction
- Marketing Attribution
- A/B Testing
- Regression Analysis (Linear, Logistic, etc.)
- Classification Algorithms (SVM, KNN, Decision Trees)
- Clustering (K-Means, Hierarchical Clustering)
- Natural Language Processing (NLP)
- Convolutional Neural Networks (CNN)
- Hyperparameter Tuning
- Model Deployment to Production
- Data Preprocessing & Cleaning
- Data Augmentation
- Data Acquisition & Validation
- Feature Engineering
- Time Series Forecasting
✅ Programming Languages & Libraries
- Python, SQL, Numpy, Pandas, Scikit-learn, TensorFlow, Keras, SciPy, OpenCV, Matplotlib, Seaborn, PyTorch, PyCharm (IDE)
✅ Data Visualization
- Data Plotting with Matplotlib
- Seaborn for Statistical Data Visualization
- Interactive Dashboards (e.g., using Plotly)
- Tableau for Business Intelligence
- Power BI for Data Reporting
✅ Big Data & Databases
- Working with Large Datasets
- SQL Query Optimization
- Database Management (MySQL, PostgreSQL)
- NoSQL Databases (MongoDB)
- Data Wrangling & Manipulation
✅ AI & Deep Learning
- Artificial Intelligence Solutions
- Neural Networks (Deep Learning)
- Recurrent Neural Networks (RNN)
- Long Short-Term Memory Networks (LSTM)
- Autoencoders for Anomaly Detection
- Transfer Learning
- Reinforcement Learning (Basics)
- Image Processing using OpenCV
- Object Detection with CNN
✅ Model Evaluation & Metrics
- Accuracy, Precision, Recall, F1-Score
- ROC Curve & AUC
- Cross-Validation
- Confusion Matrix
- Model Interpretability (SHAP, LIME)
- Bias-Variance Tradeoff
✅ Tools & Frameworks
- TensorFlow 2.0 for Deep Learning
- Keras for High-Level Deep Learning Models
- Jupyter Notebooks for Data Science Prototyping
- Git for Version Control
- Docker for Model Deployment
- Linux Command Line for Server Management
𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 & 𝐓𝐨𝐨𝐥𝐬 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞:
Python, SQL, R, JavaScript, Bash/Shell scripting, TensorFlow, Keras, PyTorch, Scikit-learn, XGBoost, LightGBM, OpenCV, Pandas, Numpy, Matplotlib, Seaborn, Plotly, Tableau, Power BI, Excel, MySQL, PostgreSQL, SQLite, MongoDB, Hadoop, Spark, Apache Kafka, AWS (S3, EC2, Lambda, SageMaker), Microsoft Azure (Data Factory, ML Studio), Google Cloud Platform (BigQuery, AI Platform), Jupyter Notebooks, PyCharm, Visual Studio Code, Git, Docker, Linux, Windows, macOS, YOLO, GitHub, GitLab, Bitbucket, Jenkins, Bash/Shell scripting
If you're ready to explore how data science and machine learning can help solve 𝙔𝙊𝙐𝙍 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙘𝙝𝙖𝙡𝙡𝙚𝙣𝙜𝙚𝙨, feel free to reach out. Whether you have questions, want to learn more about my approach, or need a customized solution to your specific needs,
𝐈'𝐦 𝐡𝐞𝐫𝐞 𝐭𝐨 𝐡𝐞𝐥𝐩.
Let’s start a conversation about how we can work together. You can contact me directly to discuss your project or schedule a time for a quick chat to see how I can assist you. Looking forward to hearing from you and finding ways to make your data work for you!
Steps for completing your project
After purchasing the project, send requirements so Muhammad Danial can start the project.
Delivery time starts when Muhammad Danial receives requirements from you.
Muhammad Danial works on your project following the steps below.
Revisions may occur after the delivery date.
Model Checking
In this client will check the model files and model ruining.