Ajay Solanki

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About Ajay Solanki

Member Since July 8, 2019, 12:51 p.m.
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Participated in Dataverse Hack and secured rank 220
Participated in DataHour: Continuous Testing and Evaluation with LLMs
Participated in DataHour: Harnessing ML and NLP for Elevated Customer Experiences
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 DataHour: Machine Learning Tips and Tricks
Participated in DataHour: From APIs to Insights: Building Custom Power BI Connectors for RESTful APIs
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: From Pixels to Insights- Practical Hands-on with Convolutional Neural Networks
Participated in DataHour: Exploring Dimensionality Reduction
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: An Introduction to Machine Learning with Sequence Data
Participated in DataHour: FIFA World Cup Match Analysis Using Python
Participated in DataHour: Getting Started with Python
Participated in DataHour: Implementing Gradient Descent in Python
Participated in DataHour: Generating Labeled Data through Weak Supervision
Participated in DataHour: Hands-on Journey to Neural Networks
Participated in DataHour: How to Build a Multi Task Model using TensorFlow
Participated in DataHour: Feature Engineering and Selection for Machine Learning
Participated in DataHour: Deep Learning for Time Series Forecasting
Participated in DataHour: Best of Pandas & The Power of Simple Models
Participated in DataHour: Machine Learning on Live Streaming Data for AIOps
Participated in DataHour: Evaluation Criteria for Validating Machine Learning Models
Participated in DataHour: Forecasting & Time-series Analysis
Participated in DataHour: Boosting Performance with Ensemble Methods
Participated in DataHour: Feature Engineering and benefits of EDA
Participated in DataHour: Constructing Machine Learning Pipelines using Scikit-learn
Participated in DataHour: A Simple Guide to Deep Metric Learning
Participated in DataHour: Contrastive Learning for Image Classification
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: An Introduction to Vision for Robotics
Participated in DataHour: An Overview of Computer Vision
Participated in DataHour: Introduction to Deep Learning with FastAI
Participated in DataHour: Exploring the Best Book Sellers Dataset
Participated in DataHour: Demystifying RCNN Family for Object Detection
Participated in DataHour: Data Preparation and Feature Engineering in ML
Participated in DataHour: Unlocking the Power of Embeddings
Participated in DataHour: Implementing a Neural Network using Pytorch
Participated in DataHour: A/B testing - Theory, Practice and Pitfalls
Participated in DataHour: Understanding Graph Data Science
Participated in DataHour: An Introduction to Google Vision API
Participated in DataHour: Dealing with Imbalanced Datasets in ML Classification Problems
Participated in DataHour: Salary Analysis and Prediction Using ML
Participated in DataHour: Understanding Stable Diffusion & Prompt Engineering
Participated in DataHour: Data Wrangling Using Geospatial Data in Python
Participated in DataHour: Diabetic Patients’ Readmission Prediction using ML
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: Basic Concepts of Object Oriented Programming in Python
Participated in DataHour: Building Efficient Convolution Networks for Image Classification Tasks
Participated in DataHour: Experiments with Interpretable Artificial Intelligence
Participated in DataHour: Image Classification using Deep Learning Models
Participated in DataHour: Deploying Models for Sentiment Analysis on Cloud
Participated in DataHour: Training Your First PyTorch Model
Participated in WNS Analytics Wizard 2019
Participated in Webinar: Getting Industry-Ready For Top Data Science Jobs
Participated in JOB-A-THON
Participated in JOB-A-THON - May 2021
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