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Real_Estate_Regressor_Model
Our client is a large Real Estate Investment Trust (REIT). They invest in houses, apartments, and condos(complex of buildings) within a small county in New York state. As part of their business, they try to predict the fair transaction price of a property before it's sold. They do so to calibrate their internal pricing models and keep a pulse on the market.Smart-Grid-End-to-End
The Smart Grid will be the power grid of the future. It will offer a two way communication flow, between consumers and providers, to ensure energy is distributed in the most efficient way. With the advance of the internet and technology in general, we have the ability to improve the traditional power grid and turn it into an intelligent, automated and distributed energy delivery network that will be able to assess the state of the grid in real time and adopt an appropriate mode of operation. A key component of an efficient Smart Grid operation will be the accurate prediction of future supply and demand trends.K-Nearest-Neighbour
Linear_Regression
Linear Regression using Scikit LearnGit-Learning
This repository is for learning purpose code with SaifSVM_Model_Classification_Linear
My_Chatbot
SVM_Classification_Model_RBF
Statistics_Practice
This is just for learning purpose which will help me to update myself. If you want to update yourself then go for it.Decision_Tree_Classification
Uncover the factors that lead to employee attrition and explore important questions such as ‘show me a breakdown of distance from home by job role and attrition’ or ‘compare average monthly income by education and attrition. Using Decision Tree AlgorithmHeroku-Demo
Pandas_Practice
This Repository is just for learning purpose. I tried to cove every aspects of pandas libraryGender-Recognition-and-Age-Estimator
Gender-Recognition-and-Age-EstimatorExtractive_Text_Summarizer
Extractive text summarizer is the process of creating a short and coherent version of a longer document. The ideal of Extractive text summarization is to develop technique by which important information or sentence are extracted from the given text file.Averaged-Weighted-Recommendation-Engines-using-Python
A recommendation system (also commonly referred to as a recommendation/recommender engine/platform) seeks to predict a user’s interest in available items (songs on Spotify, for example) and give recommendations accordingly. There are two primary types of recommendation systemsAttrition_Classification_Model
Uncover the factors that lead to employee attrition and explore important questions such as ‘show me a breakdown of distance from home by job role and attrition’ or ‘compare average monthly income by education and attrition’.Customer_Segmentation_for_Retail_Shop
Customer segmentation is a process where we divide the consumer base of the company into subgroups. We need to generate the subgroups by using some specific characteristics so that the company sells more products with less marketing expenditure.-Building-a-Simple-Chatbot-in-Python-using-NLTK
Md-Saif-Ali
Absenteeism-at-work
Predict the trend in absenteeism of employees of a given company and what actions should the company undertake to reduce such absenteeism.Credit-Card-Customer-Segmantation
We will do explanatory data analysis and finding some insight from the data. Then we will cluster the data using unsupervised learning with K-Means. After the data is segmented, we will decide the marketing approach for each segment.Absenteeism-
Netflix-Recommender-System
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