You will get machine learning models developed for Classification and Regression

You will get machine learning models developed for Classification and Regression

Project details
Hi, Under this project I will Import the datasets, and clean data cleaning, like handling missing values and changing data types, Then I will perform Exploratory Data Analysis (EDA) to get to know the dataset, and I will perform Feature Selection and Feature Engineering. The Model Development may be performed ( Classification Or Regression ). Multiple Models to have a better estimate and evaluate the models using different metrics. Fine-tuned the models for having optimal parameters and best-performing models. This does not end here, instead May also perform many other machine learning concepts,
Please contact us to discuss your project and get started!!!
Once you have the collaboration, you will come again.
Happy Ordering!!!
Please contact us to discuss your project and get started!!!
Once you have the collaboration, you will come again.
Happy Ordering!!!
Machine Learning Tools
Amazon SageMaker, ChatGPT, NLTK, NumPy, pandas, Python, scikit-learn, SciPy, Word2vec, XGBoostWhat's included
Service Tiers |
Starter
$80
|
Standard
$180
|
Advanced
$300
|
---|---|---|---|
Delivery Time | 1 day | 3 days | 5 days |
Number of Revisions | 1 | 2 | Unlimited |
Number of Model Variations | 1 | 2 | 5 |
Number of Scenarios | 1 | 2 | 5 |
Number of Graphs/Charts | 2 | 5 | 8 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$30
Additional Graph/Chart
+$10
Model Validation/Testing
+$10
Model Documentation
+$10
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Sara R.
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Tom D.
May 22, 2024
python
Great to work with.
TD
Tom D.
May 16, 2024
Tutor for Python machine learning on testing website
Ahmad was great - excellent and quick work
EI
Elvis I.
Sep 17, 2021
Create test caseses for my script by using pytest.
It was good working with him. Looking forward to working with him again.
EI
Elvis I.
Sep 13, 2021
debugging code of ML models, connecting functions between scritps.
About Ahmad
Data Analyst | Data Scientist | Machine Learning | Python | Pandas |
100%
Job Success
Chota Lahore, Pakistan - 12:20 pm local time
I am a Data Scientist and Machine Learning Expert with 6 years of experience. I am expert in:
Python | Pandas | NumPy | Data Analysis | Scikit-Learn | TensorFlow | Keras | Machine Learning | Deep Learning and Time Series analysis.
🎯Below are some the services I provide:
- Data Cleaning/ Preprocessing
- Data Standardization & Scaling
- Data Exploration & Analysis
- Data Visualization with Matplotlib, Seaborn, and Plotly
- Resolving issues with Pandas/NumPy
- Building ML Pipelines for Classification, Regression, and Clustering
- Hyperparameter Tuning for optimized performance
- Model Evaluation & Comparison
- Time Series Analysis,
- Computer Vision,
- Natural Language Processing (NLP)
- Flask Development for Web Development
📂 Classification Models
- Logistic Regression
- Decision Tree Classifier
- Random Forest Classifier
- Gradient Boosting (e.g., XGBoost, LightGBM)
- Support Vector Machines (SVM)
- k-Nearest Neighbors (k-NN)
- Neural Networks (MLPClassifier)
- Naive Bayes
- AdaBoost
- Extreme Gradient Boosting (XGBoost Classifier)
📐 Regression Models
- Linear Regression
- Decision Tree Regressor
- Random Forest Regressor
- Gradient Boosting Regressor
- Support Vector Regression (SVR)
- k-Nearest Neighbors (k-NN Regressor)
- Neural Networks (MLPRegressor)
- Lasso Regression
- Ridge Regression
- XGBoost Regressor
🔄 Clustering Models
- K-Means Clustering
- Elbow Method for Optimal K
- Hierarchical Clustering
- K-Medoids (variation of K-Means)
⏳ Time Series Models
- ARIMA (Auto-Regressive Integrated Moving Average)
- SARIMA (Seasonal ARIMA)
- SARIMAX (SARIMA with Exogenous Variables)
- Prophet (by Facebook)
- Recurrent Neural Networks (RNN)
- Long Short-Term Memory Networks (LSTM)
- AutoRegressive Models (AR)
🏆 Projects :
- Alzheimer’s Disease Prediction : Built a CNN-based model to predict Alzheimer’s likelihood
with high accuracy.
- Cardiovascular Risk Prediction : Developed ML models using Logistic Regression, Random
Forest, and SVM to assess patient risk.
- Stock Price Prediction : Utilized RNNs for time-series analysis to predict stock market
trends.
🎯 Why Work With Me?
✅ Proven track record with 6+ years of expertise
🏅 Gold Medalist in Computer Science
🤝 Dedicated to long-term collaborations
🤝 100% Customer Satisfaction
Happy to work with you!
Thanks and Regards!
Ahmed!
Steps for completing your project
After purchasing the project, send requirements so Ahmad can start the project.
Delivery time starts when Ahmad receives requirements from you.
Ahmad works on your project following the steps below.
Revisions may occur after the delivery date.
Data Gethering
Data Cleaning