shail94

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About shail94

Member Since Feb. 17, 2018, 2:32 p.m.
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Participated in AmExpert 2018 (Machine Learning Hackathon) and secured rank 568
Participated in Black Friday Sales Prediction
Participated in Big Mart Sales Prediction
Participated in Lord of the Machines: Data Science Hackathon
Participated in Practice Problem: Strategic Thinking II
Participated in Webinar: How to Get Started with Natural Language Processing (NLP)
Participated in Recommendation Engine
Participated in Predict Number of Upvotes
Participated in Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)
Participated in LTFS Data Science FinHack ( ML Hackathon)
Participated in ML Hikeathon (An Online Machine Learning Hackathon)
Participated in AmExpert 2019 – Machine Learning Hackathon
Participated in HR Analytics
Participated in Time Series Forecasting
Participated in Twitter Sentiment Analysis
Participated in Age Detection of Actors
Participated in Janatahack: Healthcare Analytics
Participated in JanataHack: Recommendation Systems
Participated in Janatahack: Healthcare Analytics II
Participated in Janatahack: Cross-sell Prediction
Participated in Identify the Sentiments
Participated in Janatahack: Customer Segmentation
Participated in Janatahack: Machine Learning in Agriculture
Participated in Janatahack: Independence Day 2020 ML Hackathon
Participated in LTFS Data Science FinHack 3
Participated in JanataHack: Demand Forecasting
Participated in DataHour: Efficient Implementations of Transformers
Participated in DataHour: Data Science Data management using Pandas
Participated in DataHour: Forecasting Stories
Participated in DataHour: Data Science in Retail
Participated in DataHour: Anomaly detection using NLP and Predictive Modeling
Participated in DataHour: Google Cloud AI/ML
Participated in DataHour: Energy Data Science - Project From Scratch
Participated in DataHour: Getting Started with EDA tools - Numpy and Pandas
Participated in DataHour: Explainable AI - Need and Implementation
Participated in DataHour: Practical Applications of Data science in Ecommerce
Participated in DataHour: The Fundamentals of Quantum Computing
Participated in DataHour: How to tackle Overfitting?
Participated in Loan Prediction
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 JanataHack: HR Analytics
Participated in HackLive 3: Guided Hackathon - NLP
Participated in JanataHack: NLP Hackathon
Participated in JanataHack: Time Series Forecasting
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: 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: Introduction to Federated Learning
Participated in DataHour: Extracting Value from Data
Participated in DataHour: Convolution Neural Network for Image Recognition
Participated in DataHour: AI in Banking
Participated in DataHour: Ensemble Techniques in Machine Learning
Participated in DataHour: Artificial Intelligence Approach in Stock Market Analysis
Participated in DataHour: An Introduction to Measuring Marketing Channel Effectiveness
Participated in DataHour: AI/ML Era in Customer Experience (CX)
Participated in DataHour: From Unstructured Text to Insights - Topic Modeling in NLP using LDA
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