Road map to use data science in the fashion retail industry –
- Python for Data Science –
- Python Basic
- Jupyter Notebook to Write Python Code
- Google Colab to Write Python Code
- What is Markdown?
- How to import any package or module in python?
- Keywords
- Identifiers
- How to write comments within Python code?
- Statements
- Variables
- Data types
- String
- Functions
- Lambda function
- Typecasting
- if…else Statement
- For Loops
- While Loops
- Modules & Packages
- Datetime Module
- Data Structures
- Python Libraries
- NumPy (Numerical Python)
- Pandas (Data Analysis Library)
- Matplotlib (Data Visualization)
- Seaborn (Advanced Data Visualization)
- PySpark (Big Data Processing)
- SciPy(Scientific Computing)
- Scikit-learn or sklearn(Machine Learning Library)
- TensorFlow(Machine Learning Library)
- Keras(deep learning library)
- PyTorch(Machine Learning Library)
- Python Basic
- Statistics
- Mathematics
- Sets and Functions
- Linear Algebra
- Calculus
- Machine Learning
- Introduction of Machine Learning
- Exploratory Data Analysis (EDA)
- Data Preprocessing
- Feature Engineering & Selection
- Building Machine Learning Model
- Supervised Machine Learning
- Linear Regression
- Logistic Regression
- Ridge Lasso Regression
- K-Nearest Neighbors(KNN)
- Support Vector Machine (SVM)
- Naive Bayes
- Time Series Forecasting
- Tree Based Algorithms
- Bagging
- Decision tree
- Random Forest
- GB_XGB_Boosting
- Unsupervised Machine Learning
- Clustering –
- K-Means Clustering
- DBSCAN Clustering
- Hierarchical Clustering
- Gaussian Mixture Models (GMM)
- Anomaly Detection
- Isolation Forest
- One-Class SVM
- Autoencoders (Neural Networks)
- Dimensionality Reduction
- Association Rule Learning
- Apriori Algorithm
- Eclat Algorithm
- FP-Growth
- Clustering –
- Semi-Supervised Machine Learning
- Reinforcement learning
- Supervised Machine Learning
- Model Evaluation
- Hyperparameter Tuning
- Model Deployment
- Deep Learning
- Artificial Neural Networks (ANN)
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)
- Transformer Models
- NLP(Natural language processing)
- LLMs (Large Language Models)
- Generative Models
- Data Visualization & Business Intelligence Tool
- Tableau
- Power BI
- Data Base Management
- SQL
- Application of Data Science in the Fashion Industry
- Fashion Analytics
- Data Analytics in Consumer-Driven Marketing
- Data Analytics for Product Recommendation
- Digital and Web Analytics in the Fashion Industry
- Supply Chain Analytics for the Fashion Industry
- Integrated Demand Forecasting in the Fashion Industry
- Pricing Analytics for the Fashion Industry
- Data Analytics in Store Localization and In-store Optimization
- Artificial Intelligence for Predicting Fashion Trends
- Use Image Recognition for Market Intelligence in the Fashion Industry