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Advanced data science with python and R

$35/hr Starting at $150

Note:

!!! Please I do not provide homework, assignment or examination assistance services. !!!


This unique offer promises detailed and accurate modelling of features using top-notch supervised and unsupervised machine learning algorithms. I employ my wealth of knowledge in machine learning and strong analytic skills to proffer fast and top-quality solutions to real-life empirical modelling problems. I can handle any machine learning algorithm for supervised, unsupervised and reinforcement learning and will happily help with any of the following:


✔︎ Linear Regression

✔︎ Logistic Regression

✔︎ Decision Tree

✔︎ Random Forest

✔︎ SVM, KNN, K-Means

✔︎ Naive Bayes

✔︎ Dimensionality Reduction Algorithms

✔︎ Gradient Boosting algorithms (GBM, XGBoost, LightGBM, CatBoost)


Further applicable areas of expertise include Data Cleaning & Analysis, Data Visualization, Feature Selection, Parameter Tuning, Feature Engineering, Validation Testing, Regularization, Recommender Systems, Sentiment Analysis, Predictive Modelling, Time series Analysis via ML etc.


Toolbox: Python,  R, Jupyter Notebook, Rstudio, Streamlit, JASP, SPSS, SQL, Git, etc.


==> I also have a separate offer covering other general statistical data analysis. You can check it out <==


*** Why choose this offer? ***

✍️ Top-quality work

✍️ Fast project delivery

✍️ Free and unlimited revisions

✍️ 100% Satisfaction

About

$35/hr Ongoing

Download Resume

Note:

!!! Please I do not provide homework, assignment or examination assistance services. !!!


This unique offer promises detailed and accurate modelling of features using top-notch supervised and unsupervised machine learning algorithms. I employ my wealth of knowledge in machine learning and strong analytic skills to proffer fast and top-quality solutions to real-life empirical modelling problems. I can handle any machine learning algorithm for supervised, unsupervised and reinforcement learning and will happily help with any of the following:


✔︎ Linear Regression

✔︎ Logistic Regression

✔︎ Decision Tree

✔︎ Random Forest

✔︎ SVM, KNN, K-Means

✔︎ Naive Bayes

✔︎ Dimensionality Reduction Algorithms

✔︎ Gradient Boosting algorithms (GBM, XGBoost, LightGBM, CatBoost)


Further applicable areas of expertise include Data Cleaning & Analysis, Data Visualization, Feature Selection, Parameter Tuning, Feature Engineering, Validation Testing, Regularization, Recommender Systems, Sentiment Analysis, Predictive Modelling, Time series Analysis via ML etc.


Toolbox: Python,  R, Jupyter Notebook, Rstudio, Streamlit, JASP, SPSS, SQL, Git, etc.


==> I also have a separate offer covering other general statistical data analysis. You can check it out <==


*** Why choose this offer? ***

✍️ Top-quality work

✍️ Fast project delivery

✍️ Free and unlimited revisions

✍️ 100% Satisfaction

Skills & Expertise

Data AnalysisData ScienceData VisualizationMachine LearningPredictive ModelingRecommender SystemsSentiment AnalysisStatistical Analysis

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