Shailendra Chauhan

image
  • 6912
    Rank
  • 0
    Points

  • Badges

  • Likes

  • Hackathon
  • 0
    Articles

Badges

No badges found from Blog

No badges on discuss

No badges earned on Datahack

About Shailendra Chauhan

Member Since May 7, 2015, 2:41 a.m.
Location Pune
Area of Interest R, SPSS, SAS, Forecasting

Activity

No blogs found

No Discussions found
Participated in The Strategic Ball and secured rank 314
Participated in Mini Hack : Strategic Thinking and secured rank 89
Participated in Strategic Sprint and secured rank 431
Participated in Data Science Blogathon - 43
Participated in DataHour: Continuous Testing and Evaluation with LLMs
Participated in DataHour: Harnessing ML and NLP for Elevated Customer Experiences
Participated in Data Science Blogathon 42
Participated in Data Science Blogathon - 41
Participated in WNS Triange Hackquest
Participated in Data Science Blogathon - 40
Participated in Data Science Blogathon - 39
Participated in DataHour: Demystifying Demand Forecasting for Retail Success
Participated in DataHour: Unwritten Rules for Success in Machine Learning
Participated in DataHour: Why Did My AI Do That? Decoding Decision-Making in ML
Participated in Data Science Blogathon - 38
Participated in DataHour: Machine Learning Tips and Tricks
Participated in Data Science Blogathon - 37
Participated in Data Science Blogathon - 36
Participated in DataHour: From APIs to Insights: Building Custom Power BI Connectors for RESTful APIs
Participated in Data Science Blogathon - 35
Participated in Data Science Blogathon - 34
Participated in Data Science Blogathon - 33
Participated in Data Science Blogathon - 32
Participated in DataHour: Handling Satellite and Geospatial Raster Data in Python
Participated in DataHour: Titanic Machine Learning Case Study using Python
Participated in DataHour: Statistics with Python for Data Science
Participated in DataHour: Exploring Dimensionality Reduction
Participated in Data Science Blogathon - 31
Participated in DataHour: Web Scraping using Python Libraries
Participated in DataHour: Introduction to Social Network Analysis
Participated in DataHour: Understanding Logistic Regression and Decision Tree Analysis
Participated in DataHour: Building an End-to-End Solution for Big Mart Sales Prediction
Participated in DataHour: Deep Dive into Kubernetes and Concepts of Containerization
Participated in DataHour: An Introduction to Machine Learning with Sequence Data
Participated in DataHour: FIFA World Cup Match Analysis Using Python
Participated in DataHour: Basics of Big Data File Formats
Participated in DataHour: Getting Started with Python
Participated in DataHour: Generating Labeled Data through Weak Supervision
Participated in DataHour: Google Cloud Vertex AI Platform
Participated in DataHour: Apache Airflow - An Open Source Workflow Manager
Participated in DataHour: Data Availability Through Data Lake in Large Organization
Participated in DataHour: Feature Engineering and Selection for Machine Learning
Participated in DataHour: Best of Pandas & The Power of Simple Models
Participated in Data Science Blogathon - 30
Participated in DataHour: Caching in Data Science
Participated in DataHour: Machine Learning on Live Streaming Data for AIOps
Participated in DataHour: Evaluation Criteria for Validating Machine Learning Models
Participated in DataHour: Dataflow on Google Cloud
Participated in DataHour: Forecasting & Time-series Analysis
Participated in DataHour: Boosting Performance with Ensemble Methods
Participated in DataHour: How Companies Use SQL to Extract Meaningful Insights Through Data?
Participated in DataHour: Feature Engineering and benefits of EDA
Participated in DataHour: Constructing Machine Learning Pipelines using Scikit-learn
Participated in DataHour: Analyzing Data with SQL
Participated in DataHour: Building a Web Application using Flask
Participated in DataHour: Google Cloud No Code/Low Code AI Solutions
Participated in DataHour: Roadmap to Data Engineering for Beginners
Participated in DataHour: Data Architect vs Data Engineer
Participated in DataHour: Transforming HR with People Analytics
Participated in DataHour: Application of ML Classification Techniques in Banking Industry
Participated in DataHour: How to Forecast New Product Launches using Data Centric Approach
Participated in DataHour: Everything You Need to Know About Pandas
Participated in DataHour: Building Effective Data Pipelines
Participated in DataHour: Deep Dive into Airflow Components
Participated in DataHour: Exploring the Best Book Sellers Dataset
Participated in DataHour: Data Preparation and Feature Engineering in ML
Participated in DataHour: Unlocking the Power of Embeddings
Participated in DataHour: An Introduction to Spark for Data Engineering
Participated in DataHour: Optimizing Real-Time ML Inference with Nvidia Triton Inference Server
Participated in DataHour: A/B testing - Theory, Practice and Pitfalls
Participated in DataHour: Understanding Graph Data Science
Participated in DataHour: Dealing with Imbalanced Datasets in ML Classification Problems
Participated in DataHour: Salary Analysis and Prediction Using ML
Participated in DataHour: Data Wrangling Using Geospatial Data in Python
Participated in DataHour: Diabetic Patients’ Readmission Prediction using ML
Participated in DataHour: Making Data Pipelines Easy with Dataproc and Composer
Participated in Data Science Blogathon - 29
Participated in DataHour: No-code ML Hands-on using Orange Data Mining Tool
Participated in DataHour: Deep Dive into Semantic Segmentation- Techniques, Challenges and State-of-the-Art
Participated in DataHour: Introduction to Docker
Participated in DataHour: Data Engineering - Tools and Techniques
Participated in DataHour: Build Apache Nifi using Serverless Cloud Infrastructure
Participated in DataHour: Data Engineering in a Nutshell
Participated in Experiments With Data
Participated in The Smart Recruits
Participated in Skilltest: Ensemble Modeling and secured rank 145
Participated in Mini Hack : Excel
Participated in AVdatafest : The Seer's Accuracy
Participated in Knocktober 2016
Participated in Skilltest: SAS and secured rank 216
Participated in Mini Hack : Data Visualization
Participated in Loan Prediction
Participated in Skilltest: Machine Learning
Participated in Skilltest: Clustering and secured rank 129
Participated in AVdatafest : Experiments With Data
Participated in Skilltest: Tree Based Algorithms
Participated in The Strategic Monk
Participated in DataHour: Data to Insightful Actions with No Code AI
Participated in DataHour: HIV Analysis using ML and Flutter
Participated in Data Science Blogathon - 27
Participated in DataHour: Everything You Need to Know About Numpy
Participated in DataHour: An Introduction to Central Limit Theorem
Participated in DataHour: ML Model Interpretation and Evaluation
Participated in DataHour: Unfolding Model Evaluation Metrics in Machine Learning
Participated in DataHour: Methods for Explaining the Blackbox of Machine Learning Model
Participated in DataHour: Netflix Data Analysis using Python
Participated in Skilltest: Deep Learning and secured rank 37
Participated in Dataverse Hack
Participated in Dataverse Hack: Build an AI Model to Save Lives
Participated in DataHour: Exploratory Data Analysis with F#
Participated in DataHour: SQL - Intermediate to Advanced
Participated in DataHour: Big Data Architecture and the Best Practices on AWS
Participated in DataHour: Python Data Structures
Participated in DataHour: Exploring Heart Disease Data using Python
Participated in DataHour: Evaluation Measures for Binary Classification
Participated in DataHour: Predicting Road Quality using AI - An MLOps Demo Pipeline
Participated in DataHour: Introduction to Dimensional Data Modelling
Participated in Data Science Blogathon - 28
Participated in DataHour: Advance SQL - Analytics/Windows Functions
Participated in DataHour: Building and Operationalizing an Explainable Predictive Model
Participated in DataHour: How do Algorithms Generate Recommendations?
Participated in DataHour: Classification Algorithms Evaluation Metrics
Participated in DataHour: Advanced Exploratory Data Analysis on Credit Data
Participated in DataHour: Exploring Multi-label & Multi-class Classification
Participated in DataHour: Normal Distribution - Understanding the Numbers and its Real Life Applications
Participated in DataHour: Cloud Dataproc - Migrate and Optimize Spark Workloads
Participated in DataHour: Building Cloud Native Data Pipelines
Participated in DataHour: Diabetes Prediction Using Survival Analysis
Participated in DataHour: Data Modelling Demystified
Participated in DataHour: Machine Learning Model Development using Pandas, Numpy and Scikit-Learn
Participated in DataHour: Analyzing Loan Application Data using Python
Participated in DataHour: Hyperparameter Optimization Demystified
Participated in DataHour: Get Started with Hadoop
Participated in DataHour: An Introduction to Apache Airflow
Participated in DataHour: Introduction to Optimization using Genetic Algorithms
Participated in DataHour: Understanding Logistic Regression
Participated in DataHour: Anomaly Detection in Time Series Data
Participated in DataHour: Real-time Machine Learning - Challenges and Solution
Participated in DataHour: An Introduction to Big Data Processing using Apache Spark
Participated in DataHour: Google BigQuery - The Modern Cloud Data Warehouse
Participated in DataHour: Experiments with Interpretable Artificial Intelligence
Participated in DataHour: Basic Concepts of Object Oriented Programming in Python
Support

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy.

Feedback

We believe in making Analytics Vidhya the best experience possible for Data Science enthusiasts. Help us by providing valuable Feedback.