Extremesarova/mini_projects

Various projects that I'm not ashamed to show

Mini projects

Churn prediction

Binary Classification Classic ML Tabular
Notebook
The task is to predict churn of telecom company customers.
Implementation includes:

• Exploratory Data Analysis
  • Missing Values Imputation
  • Categorical Columns Encoding
  • Data Normalization
• Modeling:
  • Baseline: SimpleImputer + StandardScaler + OneHotEncoder + Logistic regression + GridSearchCV
  • Final: CatBoostClassifier + Hyperparameter Search (Optuna)

Salary prediction

Regression DL NLP
Notebook
The task is to predict salary based on the different text and categorical features.
Implementation includes:

• Exploratory Data Analysis
  • Categorical Columns Encoding
  • Target transformation
• Modeling:
  • Baseline: Custom PyTorch dataset + Custom Transforms + Fusion model (Title Encoder + Description Encoder + Categorical Encoder)
  • Improved model: In progress
• Explaining model predictions: In progress

Simpsons classification

Multiclass classification DL CV Transfer Learning
Notebook
The task is to build classifier using ConvNets to classify images from Simpsons series onto 42 classes.
Implementation includes:

• Data preparation:
  • Label Encoding
• Modeling:
  • Baseline: Custom PyTorch dataset + Torchvision Transforms + Finetuning vgg16_bn
  • Improved model: In progress

Matching subscribers

Multiclass classification Classic ML Tabular Feature Engineering
Notebook
The task is to match customers of telecom company based on their characteristics.
Implementation includes:

• Exploratory Data Analysis
  • Finding & fixing errors in features
  • Memory optimization
  • Checking data integrity
• Modeling:
  • Baseline: TF-IDF + LogisticRegression + GridSearch
  • Final: In progress
• Explaining model predictions: ELI5