Perceptron is a single layer neural network and a multi-layer perceptron is called Neural Networks. Perceptron is usually used to classify the data into two parts. Therefore, it is also known as a Linear Binary Classifier.
Ensemble methods is a machine learning technique that combines several base models in order to produce one optimal predictive model.
The fundamental principle of the ensemble model is that a group of weak learners come together to form a strong learner, which increases the accuracy of the model.
2. Sequential Ensembling Learning(boosting):
Parallel Ensemble Learning(bagging)
Algorithms : Random Forest, Bagged Decision Trees, Extra Trees
a. Max Voting :
The max voting method is generally used for classification problems. In this technique, multiple models are used to make predictions for each data point. The predictions by each model…
Source code: https://github.com/Uttam580/chatterbot_chatbot
What are chatbot
A chatbot is an artificial intelligence-powered piece of software in a device (Siri, Alexa, Google Assistant etc), application, website or other networks that try to gauge consumer’s needs and then assist them to perform a particular task like a commercial transaction, hotel booking, form submission etc .
Today almost every company has a chatbot deployed to engage with the users. Some of the ways in which companies are using chatbots are:
* To deliver flight information
* to connect customers and their finances
* As customer support. The possibilities are (almost) limitless.
In this project, the objective is to predict strength and health of honey bees. frequent check-ups on the hive are time-consuming and disruptive to the bees’ workflow and hive in general. By understanding the bees we can understand hive itself.
* How can we improve our understanding of a hive through images of bees?
* How can we expedite the hive checkup process?
* How can bee image data help us recognize problems earlier?
* How can bee image data help us save our bees?
Dataset with adnotated images of bees from various…
In this project, the objective is to predict whether the person has Diabetes or not based on various features like Glucose level, Insulin, Age, BMI. We will use the Pima Indians dataset from the UCI Machine learning repository.
we can predict diabetes from two ways.
2. User can upload csv file with required features and then get downloadable predicted csv file.
Description of variables in the dataset:
Pregnancies: Number of times pregnant
Glucose: Plasma glucose concentration a 2 hours in an oral…
Traffic Signal Detection UI to detect traffic signal and integrating with Flask.
Data has downloded form kaggle .Use Below link to download the dataset.
Dataset Link: GTSRB Data
It conatains three files.