Real Estate Price prediction Regression, Lasso, SVM, Decision Tree
Real Estate Price prediction Regression, Lasso, SVM, Decision Tree
Python Demo
Cricket match result prediction using Decision Tree, SVM, Naive Bayes, Logistics Regression
Cricket match result prediction using four ML algorithms
Decision Tree, SVM, Naive Bayes, Logistics Regression
Python demo
Rainfall Prediction using Lasso and Decision Tree alogrithm on Python
Rainfall Prediction Implementation Details:
We are taking dataset
X Train & Test is from ID to Oct-Dec (NOT ANNUAL Column)
Y Train & Test is the Annual column
We are taking dataset and Analysing dataset & plotted all graphs.
Using Train set of X & Y
we are applying ML algorithm Lasso and Decision Tree
For X testset, we are arriving results and stored as resultLasso & resultDecisionTree
Python Demo
k means++ Cluster algorithm for Heart Disease prediction
k means++ Cluster algorithm for Heart Disease prediction
Implementation Details:
Heart Disease Prediction using K-Means and K-means++ clustering and Logistics Regression
1. We are taken dataset data.csv
2. Input data.csv is split into three cluster by K-means algorithm taking centroid automatically. Whereas k-means++ arrives centroid with distance
Cluster 0, Cluster1, Cluster2
3. Every cluster data is taken for getting trainset and test set
Trainset contains 14 columns, whereas testset contains 13 column
4. Every cluster testset is predicted for heart disease
Accuracy is arrived
5. Logistics regression is performed and accuracy arrived
Python demo
Personality Prediction in Tweets
PERSONALITY PREDICTION IN TWEETS
Implementation Details:
-1. Twitter data is collected for topic “apple” and stored as twitter.json file. The data will be added in the same file for execution of Twitterdata.py
2. Collected tweets from json file is extracted stored as tweet.csv
data extracted from each tweet are
tweet_id
tweet_time
tweet_author
tweet_author_id
tweet_language
tweet_text
polarity
tweet_sentiment
More 1000 tweets are collected
3. Naive Bayes and Logistics regression are applied, Plots are arrived
For the taken dataset, x-train and x-test and y-train & y-test are arrived.
from which te error is calculated for both technique
4. tweet.csv is taken as input and person.csv is extracted
This is the collection of unique autor and his total tweets, with positive and negative counts, and polarity aggregation. From which personality is arrived.
tweet_author
tweet_count
tweet_positive
tweet_negative
polarity
personality
Python Demo
Twitter sentiment analysis using five machine learning techniques
Twitter Sentiment Analysis using 5 Machine learning Techniques
Implementation Details:
1. Twitter data is collected for topic “apple” and stored as twitter.json file. The data will be added in the same file for execution of Twitterdata.py
2. Collected tweets from json file is extracted stored as tweet.csv
data extracted from each tweet are
tweet_id
tweet_time
tweet_author
tweet_author_id
tweet_language
tweet_text
polarity
tweet_sentiment
More 1000 tweets are collected
3. 5 machine learning techniques were applied
1.Naive Bayes
2.Logistics regression
3.SVM technique
4.Random forest and
5.K-means Clustering
Plots are arrived
For the taken dataset, x-train and x-test and y-train & y-test are arrived.
from which te error rate is calculated for all techniques
4. Accuracy for all techniques is arrived and plotted.
Python Demo
Restaurant Recommendation using collaborative Filtering
Restaurant Recommendation using collaborative Filtering
We are extracting real time data from Yelp
Dataset.csv is extracted
Collaborative filtering is used for recommendation results
Python Demo
Students Result Prediction and Analysis with alcohol consumption dataset
Students Result prediction using machine learning
Student result prediction using machine learning with algorithms Decision Tree and Random forest algorithm. The feature selection technique is used to select top important feature from dataset. The selected features are given for learning to the algorithm. The performance of the models are compared.
Student Result prediction source code download
Real Estate Price Prediction using Lasso algorithm and Logistics Regression
Real Estate Price Prediction using Lasso algorithm and Logistics Regression
Python Demo
Cricket Score Prediction using Decision Tree and Random Forest Algorithm – Python
Cricket Score Prediction using Decision Tree and Random Forest Algorithm – Python
Algorithm used for Cricket score prediction are decision tree and random forest and accuracy between these two techniques arrived.
Python Demo