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You will get Machine Learning Models, Optimization, Interpretation in Python

Nazmus S.Status: Offline
Nazmus S. Nazmus S.
5.0
Preview image

Let a pro handle the details

Buy Machine Learning services from Nazmus, priced and ready to go.
Nazmus S.Status: Offline
Nazmus S. Nazmus S.
5.0
Preview image

Let a pro handle the details

Buy Machine Learning services from Nazmus, priced and ready to go.

Project details

NOTE: Please Contact Me to Discuss the Project Details Before Placing an Order.

I am a Machine Learning and Data Science enthusiast with strong expertise in data analysis, statistical modeling, and building robust ML models. After earning my BSc in Civil Engineering from AUST in 2022, I've collaborated on multiple research projects, applying data science with scholars from BUET, UCF, TXST, OU, ULL, and Concordia University.

I specialize in classification, regression, deep learning, NLP, and time series analysis using Python.

Services I Provide Using Python:
Supervised Machine Learning
Unsupervised Machine Learning
Classification
Regression
Clustering
Data Visualization
Data Preprocessing
Data Engineering
Feature Engineering

Tools Use:
Sklearn
Jupyter Notebook
Google Colab

I Specialize In:
Linear Regression
MultipleLinearRegression
LogisticRegression
Clustering
XGBoost
CatBoost
AdaBoost
LightBoost
GBM
Neural Networks
Decision Trees
SupportVectorMachines (SVM)
Random Forest
K-NearestNeighbors (KNN)
Stacking
Voting
Bagging
SHAP (SHapleyAdditiveexPlanations)
Machine Learning Tools
BERT, Google Sheets, Keras, Microsoft Excel, MLflow, NumPy, pandas, PyMC, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, SPSS, Stata, TensorFlow, XGBoost
What's included
Service Tiers Starter
$25
Standard
$50
Advanced
$100
Delivery Time 1 day 3 days 5 days
Number of Revisions
444
Number of Model Variations
123
Number of Graphs/Charts
246
Model Validation/Testing
Model Documentation
Data Source Connectivity
-
-
-
Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$15 - $25

Frequently asked questions

5.0
1 review
100% Complete
(1)
1% Complete
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1% Complete
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HB

Hari B.
5.00
Mar 13, 2025
Research Developing with Statistics and Machine learning Very professional and good experience. Easy to deal, and very adaptative.
Also need to say that it gives more effort to be perfect then justing “finishing” the job
Nazmus S.Status: Offline

About Nazmus

Nazmus S.Status: Offline
Machine Learning & Data Science
5.0  (1 review)
Dhaka, Bangladesh - 11:09 pm local time
I am a Google Certified Data Analytics Professional, Data Science Professional, and Academic Researcher with over 3 years of experience in Data Analysis, Statistical Modeling, Machine Learning (Feature Selection, Model Building, Hyperparameter Tuning, and Interpretation), and Artificial Intelligence. I have collaborated with scientific scholars from the USA, Canada, UK, China, and Bangladesh on diverse Data Science projects resulting in multiple Elsevier Q1 journal publications. I specialize in Statistical Analysis, Classification, Regression, Deep Learning, Natural Language Processing (NLP), and Time Series Analysis, using tools like Python, R, SPSS, Stata, and MS Excel. I am passionate about transforming data into actionable insights and solving complex problems.

Skills & Expertise:

• Programming Languages: Python (NumPy, SciPy, Pandas, Scikit-learn, Matplotlib, Seaborn, Tensorflow, Keras, PyTorch, BERT), R
• Frameworks/Tools: Jupyter Notebook, Rstudio, Google Colab
• Statistical Software: STATA, IBM SPSS, MS Excel, IBM Amos

Machine Learning:
• Classification & Regression: Logistic Regression, Decision Trees, Random Forests, XGBoost, SVM, CatBoost, AdaBoost, LightGBM, KNN, GBM
• Unsupervised Learning: K-means & DBSCAN Clustering, Apriori Algorithm
• Model Validation: Holdout Method, Stratified K-Fold Cross-Validation
• Ensemble Methods: Bagging, Voting, Stacking
• Hyperparameter Tuning: Grid Search CV, Randomized CV, Bayesian Optimization
• Model Interpretation: SHAP (Shapley Additive Explanations), Feature Importance
• Resampling Techniques: SMOTE, ADASYN, Random Undersampling/Oversampling, Tomek Links, SMOTEENN, SMOTomek
• Deep Learning: LSTMs, MLPs, CNNs
• Natural Language Processing (NLP): Sentiment Analysis, Topic Modeling (LDA, BERT), Text Clustering, Keyword Extraction
• Time Series Analysis: Expertise in modeling and forecasting using ML techniques

• Statistical Modeling: Ordinal Logistic and Probit Regression, Bayesian Ordinal Logistic and Probit Regression, Structured Equation Modelling (SEM), Bayesian Structured Equation Modelling (BSEM), Poisson Regression, Multiple Linear Regression
• Statistical Test: Hypothesis Testing (t-Test, ANOVA, Chi-Square Test), Correlation (Pearson, Spearman Rank, Phi Coefficient, Point-Biserial), Reliability Testing (Cronbach's Alpha, Kuder-Richardson), Multivariate Analysis (Factor Analysis, MANOVA, Principal Component Analysis-PCA)

I’m passionate about turning data into actionable insights and delivering high-quality solutions to complex problems. Let’s work together to bring your data projects to life!

Steps for completing your project

After purchasing the project, send requirements so Nazmus can start the project.

Delivery time starts when Nazmus receives requirements from you.

Nazmus works on your project following the steps below.

Revisions may occur after the delivery date.

Preparation of Draft

Revise (if needed)

Review the work, release payment, and leave feedback to Nazmus.