You will get Data analysis, Machine learning model for predictive analysis
Project details
Sure, here's a simplified version of your note:
---
**Note: Please contact me via inbox before placing your order for PROJECT DISCUSSION**
I'm an experienced ML expert with over three years of experience in Python, Pandas, Matplotlib, Seaborn, Scikit-learn, and Tensorflow. My services include:
• Data Cleaning
• Exploratory Data Analysis
• Time-Series Analysis
• Data Visualization
• Python Data Science Projects
• Machine Learning and Deep Learning
• Classification and Regression
• Clustering (KMeans, DBSCAN, HDBSCAN, Hierarchical Clustering)
• Predictive Modeling
• Feature Engineering
Tools/Frameworks/Libraries:
• Python, Jupyter Notebook, Google Colab
• Pandas, Numpy
• Matplotlib, Seaborn, Plotly
• Scipy, Scikit-learn, Tensorflow, Keras
To avoid confusion, please message me first to discuss your requirements. Let's keep it simple!
---
**Note: Please contact me via inbox before placing your order for PROJECT DISCUSSION**
I'm an experienced ML expert with over three years of experience in Python, Pandas, Matplotlib, Seaborn, Scikit-learn, and Tensorflow. My services include:
• Data Cleaning
• Exploratory Data Analysis
• Time-Series Analysis
• Data Visualization
• Python Data Science Projects
• Machine Learning and Deep Learning
• Classification and Regression
• Clustering (KMeans, DBSCAN, HDBSCAN, Hierarchical Clustering)
• Predictive Modeling
• Feature Engineering
Tools/Frameworks/Libraries:
• Python, Jupyter Notebook, Google Colab
• Pandas, Numpy
• Matplotlib, Seaborn, Plotly
• Scipy, Scikit-learn, Tensorflow, Keras
To avoid confusion, please message me first to discuss your requirements. Let's keep it simple!
Machine Learning Tools
Azure Machine Learning, ChatGPT, Databricks MLflow, deeplearn.js, Deeplearning4j, GitHub Copilot, Google AutoML, Google Sheets, Keras, MATLAB, Microsoft Excel, Microsoft Power BI, MLflow, NumPy, OpenCV, pandas, PyMC, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlow, Vertex AI, XGBoostWhat's included
| Service Tiers |
Starter
$40
|
Standard
$80
|
Advanced
$140
|
|---|---|---|---|
| Delivery Time | 3 days | 6 days | 8 days |
Number of Revisions | 2 | 3 | 4 |
Number of Model Variations | 2 | 2 | 1 |
Number of Scenarios | 5 | 6 | 8 |
Number of Graphs/Charts | 5 | 8 | 10 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$15 - $30
Additional Revision
+$20
Additional Model Variation
(+ 1 Day)
+$25
Additional Scenario
(+ 1 Day)
+$10
Additional Graph/Chart
+$10
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About Maria
Machine Learning Engineer | Mechanical engineer | AI Expert
100%
Job Success
Abbottabad, Pakistan - 7:33 pm local time
🏆Certified Machine learning Expert from Stanford
🎓 ML, NLP, LLM and AI expert
🏅 Certifications & Tool Expertise: Specialization in machine learning, Structural engineering, Technical Report Writing
🏅 Technical Skills: AI, Python, ML, DL
⭐ I’m a hybrid mechanical engineer blending hands-on design, advanced FEA, and AI-driven automation. From simulations to training the large learning models using AI, I have hands on experience in merging AI with mechanical systems. I plan every project step-by-step: budget, timeline, procurement, ensuring smart ideas turn into working solutions, on time and cost-effective.
⭐ My Services include:
✅Mechanical Automation
✅Artificial intelligence
✅Structural engineering
✅Automation and model development
✅Surrogate modelling for Mechanical systems
✅Deep Learning
✅Technical Report writing
✅Python Scripting
✅Data Analysis, Visualization and preprocessing
✅Developing large Machine Learning pipelines
✅Model development and hyper tuning
✅Training and Optimization
✅Statistical Analysis
✅Predictive Analytics
✅Mathematical Modeling
✅Generative AI Prompt engineering
✅GitHub
✅Libraries:
Scikit Learn, Seaborn, TensorFlow, Keras, PyTorch, Octave, Tflearn, Sklearn, Pandas, Matplotlib, NumPy, SciPy
✅Visualization
Matplotlib, Seaborn, Plotly, ggplot, Tableau, Excel
✅ Theoretical Knowledge
Mathematical Background: Linear algebra, Calculus, Probability and Statistics, Optimization, Numerical analysis, Discrete Mathematics, etc.
Mechanical engineering: Numerical analysis, Design and FEA, structural engineering, Machine automation, Robotics, Technical report writing, etc.
ML: Regression, Classification, Decision Trees, Random Forest, Sentimental Analysis, Feature Learning, Anomaly Detection, Bayesian Statistics, Cluster Computing, NLP, etc.
DL: ANN, MLP, CNN, RNN, LSTM, GAN, etc.
Let’s engineer the next generation of intelligent mechanical systems. With my background in Mechanical Engineering, AI, and Machine Learning, I’m here to help you bring innovation to life. Contact me and let’s create solutions that redefine the future.
Regards
Maria Bibi
Steps for completing your project
After purchasing the project, send requirements so Maria can start the project.
Delivery time starts when Maria receives requirements from you.
Maria works on your project following the steps below.
Revisions may occur after the delivery date.
Complete project
Completed