Do advanced data science with python and R

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