Program 1 Handwritten Digit Recognition with ANN To build a machine learning model using an Artificial Neural Network (ANN) that can accurately classify handwritten digits (0–9) from grayscale images of size 28×28 pixels. Dataset...
Program 1 Classifying Clothing Images Using Artificial Neural Network (ANN) We want create a model which teach a machine to look at a small grayscale image of a fashion item (like a T-shirt or...
Program 1 Air Pollution Dataset # -*- coding: utf-8 -*- “””Air Pollution Level Estimation_ANN.ipynb Automatically generated by Colab. Original file is located at https://colab.research.google.com/drive/1iD91CUNvXYOx4WjCe9LgVvuKZv6sthM4 Air-Pollution Level Estimation (PM2.5) from Weather Conditions Estimate or predict...
Program 1 Car Details Dataset Used Car Price Prediction Using Vehicle Specifications and Artificial Neural Networks To develop a predictive model using Artificial Neural Networks (ANN) that estimates the selling price of a used...
Program 1 Placement Dataset Student Placement Prediction Using ANN on Academic and Skill Data To build an Artificial Neural Network (ANN) model that predicts whether a student will get placed or not based on...
Program 1 Heart Disease Dataset Heart Disease Predictor using ANN (Keras) We want to predict whether a person has heart disease or not based on multiple health parameters. This is a binary classification problem...
Program 1 Facial Expression Dataset import pandas as pd import numpy as np from sklearn.ensemble import GradientBoostingClassifier from sklearn.model_selection import train_test_split from sklearn.metrics import classification_report, confusion_matrix from sklearn.preprocessing import LabelEncoder import matplotlib.pyplot as plt...
Program 1 Diabetes Prediction Dataset # Import libraries import pandas as pd from sklearn.model_selection import train_test_split from sklearn.preprocessing import LabelEncoder from sklearn.ensemble import GradientBoostingClassifier from sklearn.metrics import accuracy_score, confusion_matrix # Load dataset df =...
Program 1 Mock California House Dataset # Step 1: Import libraries import pandas as pd from sklearn.model_selection import train_test_split from sklearn.ensemble import GradientBoostingRegressor from sklearn.metrics import mean_squared_error, r2_score # Step 2: Load dataset from...
Program 1 Loan Dataset Loan Approval Classifier using Random Forest import pandas as pd from sklearn.model_selection import train_test_split from sklearn.preprocessing import LabelEncoder from sklearn.ensemble import RandomForestClassifier from sklearn.metrics import accuracy_score df_loan=pd.read_csv(“D://scikit_data/loanData/loan_data.csv”) df_loan.head() df_loan.shape df_loan.info()...
