Master

Chatbots/README.md

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+# Welcome to EduBot

House-data-predictions/hello.py

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 import pandas as pd
 import numpy as np
+import matplotlib.pyplot as plt
+import seaborn as sns
+from sklearn.model_selection import train_test_split
+from sklearn.preprocessing import StandardScaler, OneHotEncoder
+from sklearn.compose import ColumnTransformer
+from sklearn.pipeline import Pipeline
+from sklearn.ensemble import RandomForestRegressor, GradientBoostingRegressor
+from sklearn.linear_model import LinearRegression
+from sklearn.metrics import mean_squared_error, r2_score
+from sklearn.model_selection import GridSearchCV
 
-df = pd.read_csv("coaster_db.csv")
-print(df.head())
+# Load the data
+df = pd.read_csv('Bengaluru_House_Data.csv')
+
+# Initial data exploration
+print(df.head())
+print(df.info())
+print(df.describe())
+print(df.isnull().sum())

Text_Extraction/README.md

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+# 📖 OCR Text Extraction from Images
+
+**Extract text from images** using AI-powered Optical Character Recognition (OCR). Supports both pre-trained libraries and custom deep learning models.
+
+---
+
+## 🚀 Features

Text_Extraction/index.py

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+from transformers import TrOCRProcessor, VisionEncoderDecoderModel
+from PIL import Image
+
+processor = TrOCRProcessor.from_pretrained("microsoft/trocr-base-printed")
+model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-base-printed")
+
+img = Image.open("snippet.png").convert("RGB")
+pixel_values = processor(img, return_tensors="pt").pixel_values
+generated_ids = model.generate(pixel_values)
+text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
+print(text)