Author Archives: Anurag Upadhyaya - Page 2
Weekend Hackathons are becoming more competitive, so we are back with a tougher one this time. Another exciting weekend hackathon to flex your machine learning classification skills by building an anomaly detection model to separate the good and anomalous products for one of India’s leading wafer manufacturers into 2 different classes. Detecting Anomalies can be…
The post Detecting Anomalies in Wafer Manufacturing: Weekend Hackathon #18 appeared first on Analytics India Magazine.
MachineHack successfully concluded its seventeenth installment of the weekend hackathon series this Monday. The Flower Class Recognition: Weekend Hackathon #17 hackathon provided the contestants with an opportunity to revisit the classification skills by classifying various classes of flowers into 8 different classes. The hackathon was greatly welcomed by data science enthusiasts with over 250 registrations…
The post Meet The Data Scientists Who Cracked The ‘Flower Class Recognition: Weekend Hackathon #17’ appeared first on Analytics India Magazine.
Weekend Hackathons are becoming more competitive, we are providing a platform to expose your skills to the machine learning community. In this weekend hackathon, many participants are racing for top 3 positions, so we are back with a tougher one this time. This week we are giving an opportunity to showcase your skills in machine…
The post Participate In Weekend ML Hackathon #17: Flower Class Recognition appeared first on Analytics India Magazine.
MachineHack welcomes all Data Science and Machine Learning enthusiasts to another exciting weekend hackathon. This weekend, machinehackers must use their data science skills to predict the melanoma tumor size based on a number of factors. The challenge will start on 7th August Friday at 6 pm IST. Problem Statement & Description In this weekend hackathon,…
The post Melanoma Tumor Size Prediction: Weekend Hackathon #15 appeared first on Analytics India Magazine.
Meet The MachineHack Champions Who Cracked The ‘Power Plant Energy Output Prediction’ Hackathon
MachineHack successfully concluded its eleventh installment of the weekend hackathon series last Monday. The Power Plant Energy Output Prediction hackathon provided the contestants with an opportunity to revisit the very basics of data science and machine learning problem. The hackathon was greatly welcomed by data science enthusiasts with over 300 registrations and active participation from…
The post Meet The MachineHack Champions Who Cracked The ‘Power Plant Energy Output Prediction’ Hackathon appeared first on Analytics India Magazine.
Weekend Hackathons are becoming more competitive, so we are back with a tougher one this time. In this weekend hackathon, we are providing an open UCI dataset but the target has been predicted by our machine learning model. Yes, you heard it right, In this weekend hackathon, we are challenging all the MachineHackers to design…
The post News Popularity Prediction: Weekend Hackathon #14 appeared first on Analytics India Magazine.
Weekend hackathons are fun, aren’t they! In our last weekend hackathon, we introduced a new and unique problem statement using UCI open dataset. But, we were big-time disappointed as some of the participants ended up probing the leaderboard. However, we decided to host an open UCI dataset competition again this weekend. So In this weekend…
The post Power Plant Energy Output Prediction: Weekend Hackathon #13 appeared first on Analytics India Magazine.
Another weekend and another exciting hackathon, and this time with an open dataset. Yes, you heard it right ! In this weekend hackathon, we are using an open dataset and we have added some noise in the target variable to keep the spirit of competition right. The participants are provided with 55 distinguishing features to…
The post Forest Cover Classification: Weekend Hackathon #12 appeared first on Analytics India Magazine.
Q-Learning is a traditional model-free approach to train Reinforcement Learning agents. It is also viewed as a method of asynchronous dynamic programming. It was introduced by Watkins&Dayan in 1992. Overview In Q-Learning we build a Q-Table to store Q values for all possible combinations of state and action pairs. It is called Q-Learning because it…
The post Hands-On Guide to Understand and Implement Q-Learning appeared first on Analytics India Magazine.
OpenAI Gym is a well known RL community for developing and comparing Reinforcement Learning agents. OpenAI Gym doesn’t make assumptions about the structure of the agent and works out well with any numerical computation library such as TensorFlow, PyTorch. The gym also provides various types of environments. Some of these environments are well covered in […]
The post Hands-On Guide to OpenAI Gym Custom Environments appeared first on Analytics India Magazine.