Update README.md

README.md

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 # Cars_price_ML
 Exploring and predicting the price of cars based on their features 
-Using Python( Pandas, Statsmodels, Scikit, Matplotlib and Scikit Learn packages)
+Using Python( Pandas, Statsmodels, Scikit, Matplotlib, and Scikit Learn packages)
 1. Cleaning and wrangling the dataset.  
 2. Exploring the dataset and look for correlations.  
-3. Use visualization charts to emphasis different relationships.
+3. Use visualization charts to emphasize different relationships.
 4. Building a predictive linear regression model using Statsmodels.
-5. Building a predicitive machine learning (linear regression) model using Sci-kit learn.
+5. Building a predictive machine learning (linear regression) model using Sci-kit learn.
 6. Modeling using Radomforest Regressor, reaching 93% R2 score.