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 in Python Programming
- Identifiers in Python Programming
- How to write comments within Python code?
- Statements in Python Programming
- Variables in Python Programming
- Data types in Python programming
- String in Python Programming
- Functions in Python Programming
- Lambda function in Python Programming
- Typecasting in Python Programming
- if…else Statement in Python Programming
- For Loops in Python Programming
- While Loops in Python Programming
- Modules & Packages in Python Programming
- Datetime Module in Python Programming
- Data Structures in Python Programming
- Numpy – Python Library
- Pandas – Python library
- Matplotlib – Python Library
- Seaborn-Python Library
- Python Basic
- Statistics
- 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
- Tree Based Algorithms
- Bagging
- Decision tree
- Random Forest
- GB_XGB_Boosting
- Unsupervised Machine Learning
- Time-Series-Analysis
- Supervised Machine Learning
- Model Evaluation
- Hyperparameter Tuning
- Model Deployment
- Deep Learning
- Artificial Neural Networks (ANN)
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)
- Data Collection
- 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