Contains notes, files, and data for Building Linear regression models, analyzing, data cleaning, processing, and transforming. We will be working on with data set Movie_Collection.csv to predict the collection a movie might make based on various parameters mentioned below:
SNo. Column Non-Null Count Dtype
0 Collection 400 non-null int64 <br>
1 Marketin_expense 400 non-null float64 <br>
2 Production_expense 400 non-null float64 <br>
3 Multiplex_coverage 400 non-null float64 <br>
4 Budget 400 non-null float64 <br>
5 Movie_length 400 non-null float64 <br>
6 Lead_ Actor_Rating 400 non-null float64 <br>
7 Lead_Actress_rating 400 non-null float64 <br>
8 Director_rating 400 non-null float64 <br>
9 Producer_rating 400 non-null float64 <br>
10 Critic_rating 400 non-null float64 <br>
11 Trailer_views 400 non-null int64 <br>
12 Time_taken 392 non-null float64 <br>
13 Twitter_hastags 400 non-null float64 <br>
14 Genre 400 non-null object <br>
15 Avg_age_actors 400 non-null int64 <br>
16 MPAA_film_rating 400 non-null object <br>
17 Num_multiplex 400 non-null int64 <br>
18 3D_available 400 non-null object <br>