| Automation of cow quality assessment |
Automating the calculation of a cow's approximate milk yield and predicting the taste of its milk |
Pandas Numpy Matplotlib Seaborn Scikit-learn Scipy |
Machine Learning Data Analysis Regression Classification |
| Automation of personnel management |
Creating a model that can predict employee satisfaction levels and a model that can predict potential employee terminations |
Pandas Numpy Matplotlib Seaborn Scikit-learn Shap Phik |
Machine Learning Data Analysis Regression Classification |
| Selecting a drilling location using a linear model |
Creating a model to identify the most profitable and analysing possible profit and risks |
Pandas Numpy Matplotlib Seaborn Scikit-learn |
Machine Learning Data Analysis Regression Bootstrap |
| Determining the cost of cars |
Creation of a model to determine the market value of the machine |
Pandas Numpy Matplotlib Seaborn Scikit-learn Phik LightGBM |
Machine Learning Data Analysis Regression Gradient Boosting |
| Forecasting taxi orders |
Creating a model to predict values based on time series |
Pandas Numpy Matplotlib Scikit-learn Statsmodel LightGBM |
Machine Learning Data Analysis Regression Gradient Boosting TimeSeries |
| Classification of text sentiment |
Creating a model to classify the toxicity of comments |
Pandas Numpy Matplotlib Scikit-learn LightGBM nltk tdqm WordCloud SpaCy |
Machine Learning Data Analysis Classification Gradient Boosting Text NLP TF-IDF |
| Determining the age of buyers from photographs |
Creating a model to predict a person's age from images |
Pandas Numpy Matplotlib keras TensorFlow |
Machine Learning Data Analysis Regression Computer Vision TensorFlow |
| Determining the churn of telecom operator customers |
Creating a model for predicting the termination of a contract with a telecom operator by a client |
Pandas Numpy Matplotlib Seaborn Scikit-learn Phik LightGBM Catboost |
Machine Learning Data Analysis Classification Gradient Boosting |