princejindal

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About princejindal

Member Since April 14, 2019, 4:09 p.m.
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Participated in LTFS Data Science FinHack ( ML Hackathon) and secured rank 126
Participated in AMA: Generative AI & Career in Data Science / Data Analytics
Participated in DataHour: What do Hiring Managers Look for in Data Scientists?
Participated in DataHour: How to Become an AI/ML Cloud Architect?
Participated in DataHour: Build Your Career in Data Analytics
Participated in DataHour: How to Start Your Career in Data Engineering with SQL and Python?
Participated in DataHour: Mastering Guesstimate Interview Questions
Participated in DataHour: How to Start your Journey in Data Engineering?
Participated in DataHour: Exploring the World of AI and its Career Opportunities
Participated in WNS Analytics Wizard 2019
Participated in DataHour: Think like a Data Scientist
Participated in DataHour: SQL- One of the Key Ingredients for Data Science
Participated in DataHour: Deploying Deep Learning model to production using FastAPI & Docker
Participated in DataHour: Improving Search Results with Semantic Search
Participated in DataHour: Efficient Implementations of Transformers
Participated in DataHour: Introduction to Network Science
Participated in DataHour: ML oops to MLOps!
Participated in Football Hackathon
Participated in DataHour: How to transition into Data Science?
Participated in DataHour: Writing Reusable and Reproducible Pipelines for Training Neural Networks
Participated in DataHour: Building Scalable, Secure and Responsible AI Solutions in Azure
Participated in DataHour: Introduction to Image Processing using Python
Participated in DataHour: Introduction to Tensorflow Javascript
Participated in DataHour: Introduction to MLOps
Participated in DataHour: Ask Kunal Anything About AI
Participated in DataHour: Causal Inference in Practice
Participated in DataHour: Introduction to Interpretable Machine Learning
Participated in DataHour: Building NLP applications using Hugging Face
Participated in DataHour: An Introduction and Hands-On to Named Entity Recognition
Participated in DataHour: Hands-on with Social Network Analysis
Participated in Learn to Build an Artificial Intelligence Model with Kaggle Grandmasters
Participated in DataHour: Introduction to Optimization Problems for Data Scientists
Participated in DataHour: Hands-on with Data Analysis Expressions(DAX) for Power BI
Participated in DataHour: Deep Learning - Maths Behind Back-Propagation
Participated in DataHour: Everything you need to know about Speech Recognition
Participated in DataHour: Feature Engineering on Images using Convolutional Neural Networks(CNN)
Participated in DataHour: Building AI Applications in Minutes
Participated in DataHour: Real-world Applications of Data science
Participated in DataHour: Bias and Fairness in NLP
Participated in DataHour: Next Leap - Data Science Adoption to Application
Participated in DataHour: MLOps—DevOps for Machine Learning
Participated in DataHour: Understanding Search Query
Participated in DataHour: Smart Machine Learning Solution Based on Ontology and Knowledge Graph
Participated in DataHour: Computer Vision Landscape
Participated in DataHour: Making Sense of Clinical Text Data at Scale with NLP
Participated in DataHour: Analyzing Movie Data using MongoDB
Participated in DataHour: Designing an end-to-end Neural Search Pipeline with Similarity Learning
Participated in DataHour: Data Visualization using Python
Participated in DataHour: Understanding AWS Virtual Private Cloud(VPC) Concepts
Participated in DataHour: Introduction to Explainable AI (XAI)
Participated in DataHour: Leveraging GCP Vertex AI for Machine Learning
Participated in DataHour: Quantum Computing Simulator Acceleration
Participated in DataHour: Stirring up Data Science with SQL
Participated in DataHour: Prediction to Production in Machine Learning
Participated in DataHour: Trees of Data Science
Participated in DataHour: Dynamic Time Warping for Time Series Classification
Participated in DataHour: Deep Dive into Practical Machine Learning with Career Insights
Participated in DataHour: Data Operations on Azure
Participated in DataHour: Jumpstart your Career with AWS AI/ML
Participated in DataHour: Nirvana State of MLOps
Participated in DataHour: Introduction to GAN - A Practical Approach
Participated in DataHour: Product Oriented Data Scientists
Participated in DataHour: Key steps for Designing Deep Neural Network and its scope in Industry
Participated in DataHour: Anomaly detection using NLP and Predictive Modeling
Participated in DataHour: Data Science in Retail
Participated in DataHour: Data Science Data management using Pandas
Participated in DataHour: Mitigating Bias in Machine Learning
Participated in DataHour: Google Cloud AI/ML
Participated in DataHour: Forecasting Stories
Participated in DataHour: Energy Data Science - Project From Scratch
Participated in DataHour: Getting Started with EDA tools - Numpy and Pandas
Participated in DataHour: Practical Applications of Data science in Ecommerce
Participated in DataHour: The Fundamentals of Quantum Computing
Participated in DataHour: Explainable AI - Need and Implementation
Participated in DataHour: How to tackle Overfitting?
Participated in DataHour: Hands-on with A/B Testing
Participated in DataHour: Key steps for Designing Artificial Neural Network (ANN) for Image classification
Participated in DataHour: Building Data Pipelines on GCP
Participated in DataHour: Modern Deep Learning Architecture
Participated in DataHour: 5 things you should know about Azure SQL
Participated in DataHour: Prediction to Production in Machine Learning
Participated in DataHour: How to become the G.O.A.T of Data Science in 2023?
Participated in DataHour: AI & ML in the Automotive Industry
Participated in DataHour: ETL Pipelines in GCP
Participated in DataHour: Knowledge Graph Solutions using Neo4j
Participated in DataHour: Practical Time Series Analysis
Participated in DataHour: Building Machine Learning Models in BigQuery
Participated in DataHour: Key steps for Designing Convolutional Neural Network(CNN) for Image Classification
Participated in DataHour: DCNN for Machine RUL Prediction using Time-series Data
Participated in DataHour: A Day in the Life of a Data Scientist
Participated in DataHour: Classification ML Model from Scratch
Participated in DataHour: NLP aspects in Telecommunication Industry
Participated in DataHour: Intelligent Knowledge Mining with Azure NLP and Graph databases
Participated in DataHour: Visualizing Data using Python
Participated in DataHour: Getting Started with AWS EC2
Participated in DataHour: Model Guesstimation (MLOps)
Participated in DataHour: An Unsupervised ML approach using Clustering
Participated in DataHour: M in ML stands for Math & Magic
Participated in DataHour: Model Parameters vs Hyperparameters - Techniques in ML Engineering
Participated in DataHour: Customizing Large Language Models GPT3 for Real-life Use Cases
Participated in DataHour: Product Based Case Studies for Data Science Interviews
Participated in DataHour: Road to Data Science
Participated in DataHour: Data Science Career - Myths vs Truths
Participated in DataHour: Data Science for Business - From Theory to Practice
Participated in DataHour: Launch Your Career in Data Science
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