Repository containing some portions of small codes completed by me for academic and self-learning purposes. Bigger projects are in separate repositories.
This readme.md will be updated as the repository is updated.
Following are the courses I've completed:
- DS-510. Introduction to Data Science: Linear Regression, Logistic Regression, SVM, KNN, K-means, Tableau, Marketing Analysis
- DS-520. Data Analysis and Decision Modeling: Descriptive Statistics, Inferential Statistics, ANOVA
- DS-610. Big Data Analytics: Apache Spark, Databricks, Cluster
- DS-630. Machine Learning: Regression, Classification, Clustering, Neural Network
Following are the courses I am enrolled in:
- DS-530. Big Data & Data Managament
- DS-600. Data Mining
Anticipated courses:
- DS-620. Data Visualization
- DS-640. Predictive Analytics and Financial Modeling
- DS-660. Business Analytics
- DS-670. Capstone: Big Data and Business Analytics
- DS-680. Marketing Analytics and Operations Research
- DS-700. Data Science and Health
If you would like to discuss my academic experience or any work/internship opportunities, please email me at p.ankur.715@gmail.com or https://www.linkedin.com/in/ankurpatel715/.