diff --git a/year4/semester1/CT4101: Machine Learning/assignments/assignment1/Datasets.zip b/year4/semester1/CT4101: Machine Learning/assignments/assignment1/Datasets.zip
deleted file mode 100644
index c07c6da6..00000000
Binary files a/year4/semester1/CT4101: Machine Learning/assignments/assignment1/Datasets.zip and /dev/null differ
diff --git a/year4/semester1/CT4101: Machine Learning/assignments/assignment1/datasets/wildfires_test.csv b/year4/semester1/CT4101: Machine Learning/assignments/assignment1/datasets/wildfires_test.csv
new file mode 100644
index 00000000..943c35cc
--- /dev/null
+++ b/year4/semester1/CT4101: Machine Learning/assignments/assignment1/datasets/wildfires_test.csv	
@@ -0,0 +1,51 @@
+fire,year,temp,humidity,rainfall,drought_code,buildup_index,day,month,wind_speed
+no,2015,33,68,4.5,9.12,5.09,19,6,16
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+no,2014,33,47,1.1,8.37,7.87,22,6,14
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+yes,2015,36,66,0,17.01,10.75,24,6,17
+yes,2010,34,72,0,26.04,13.34,25,6,17
+yes,2016,36,64,0,34.92,17.24,26,6,17
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+no,2014,35,42,1.7,8.86,11.55,30,6,16
+no,2009,27,56,2.2,8.92,4.19,1,7,20
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+no,2008,33,61,1.1,57.35,22.04,24,7,19
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+yes,2013,35,47,0,159.81,36.57,30,8,17
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+no,2008,27,69,0,17.24,4.56,2,9,21
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+no,2011,35,70,6.5,9.45,3.84,6,9,16
+yes,2012,32,60,0,18.53,6.88,7,9,16
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diff --git a/year4/semester1/CT4101: Machine Learning/assignments/assignment1/datasets/wildfires_training.csv b/year4/semester1/CT4101: Machine Learning/assignments/assignment1/datasets/wildfires_training.csv
new file mode 100644
index 00000000..1ff0a7b2
--- /dev/null
+++ b/year4/semester1/CT4101: Machine Learning/assignments/assignment1/datasets/wildfires_training.csv	
@@ -0,0 +1,155 @@
+fire,year,temp,humidity,rainfall,drought_code,buildup_index,day,month,wind_speed
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+no,2009,28,82,1.2,17.68,7.44,13,6,22
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+no,2016,30,89,0.6,8.57,1.71,17,6,17
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+no,2008,35,65,0.2,41.16,12.76,7,7,18
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+no,2013,32,73,0.1,27.82,10.17,12,7,15
+no,2008,35,79,0,38.08,12.44,13,7,16
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+no,2012,30,81,0.4,17.22,6.27,15,7,19
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+no,2007,35,51,0.3,75.8,21.6,12,8,15
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+no,2013,35,70,0.8,181.14,37.76,30,8,19
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+no,2017,25,77,3.8,8.29,2.13,3,9,16
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+no,2013,28,89,0,16.72,4.01,12,9,15
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+no,2013,24,80,0.4,7.7,1.58,15,9,15
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+yes,2013,32,51,0,24.72,8.38,17,9,16
+yes,2012,32,50,0,33.64,11.52,18,9,12
+yes,2009,28,55,0,42.1,14.39,19,9,14
+yes,2008,27,83,0,49.31,16.04,20,9,18
+yes,2007,30,57,0,58.52,19.64,21,9,11
+no,2017,32,52,0.6,42.12,13.86,22,9,21
+no,2010,31,56,0.5,30.41,10.52,23,9,11
+no,2016,25,83,5.8,8.39,3.66,25,9,22
+no,2010,30,52,0,17.05,6.32,26,9,11
+yes,2016,30,65,0,25.05,9.35,27,9,13
+no,2007,31,45,0.7,9.28,7.49,28,9,16
+no,2007,25,82,1.8,7.73,3.35,29,9,18
+no,2010,25,76,1.4,7.53,2.51,30,9,16
+no,2009,33,73,0.7,8.55,3.75,1,6,14
+no,2011,29,74,4,8.48,3.17,2,6,14
+no,2017,30,82,2,7.77,2.87,3,6,15
+no,2016,29,63,0,15.84,6.09,4,6,15
+no,2009,32,58,0.2,18.23,6.86,5,6,15
+yes,2017,36,54,0.1,26.87,10.04,6,6,12
+yes,2008,35,46,0.2,29.5,11.58,7,6,19
+no,2012,28,49,1.3,8.38,7.55,8,6,19
+no,2016,27,61,0.1,15.14,8.55,9,6,19
+yes,2008,29,42,0,23.16,13.77,10,6,16
+yes,2009,32,44,0,30.63,18.89,11,6,23
+no,2017,30,53,2,8.71,11.38,13,6,16
+no,2008,28,81,0.7,7.62,6.82,14,6,18
+no,2015,28,92,0,14.75,7.24,15,6,17
+no,2014,30,88,0.4,8.23,4.56,16,6,15
+no,2010,30,71,4.7,8.14,3.94,17,6,17
+no,2014,32,63,8.7,8.6,5,18,6,11
+no,2016,32,73,0.2,8.94,4.19,20,6,15
+yes,2017,40,36,0,21.94,10.84,2,8,14
+yes,2012,40,31,0,32.14,17.34,3,8,19
+yes,2011,39,36,0,42.99,23.88,4,8,15
+yes,2007,35,41,0.1,53.04,23.8,5,8,18
+no,2017,29,54,3.1,9.27,11.37,6,8,14
+no,2014,33,65,2.9,10.76,6.9,7,8,15
+yes,2011,38,56,0,20.36,11.04,8,8,13
+yes,2013,39,44,0,31.03,16.41,9,8,12
+yes,2008,40,40,0.2,36.15,16.18,10,8,15
+yes,2017,41,33,0,46.38,23.1,11,8,17
+yes,2016,38,21,0.4,41.58,18.85,12,8,17
+yes,2015,34,36,0.2,45.69,17.83,13,8,16
+yes,2013,36,38,0,55.82,22.47,14,8,14
+yes,2016,34,45,0.3,54.29,19.47,15,8,14
+yes,2012,40,42,0.1,65.53,24.28,16,8,12
+yes,2012,43,23,0,76.99,30.87,17,8,11
+yes,2011,37,39,0,87.17,36.48,18,8,14
+yes,2007,35,67,0.1,96.83,36.06,19,8,15
+yes,2016,35,80,0,107.14,38.23,20,8,16
+yes,2010,37,72,0,117.49,41.62,21,8,17
+yes,2008,36,53,0,128.08,46.25,22,8,16
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+yes,2009,33,38,0,157.59,60.2,25,8,20
+yes,2010,29,78,0,35.09,10.5,9,9,16
+no,2007,28,73,1.1,8.34,5.13,10,9,16
+no,2015,29,75,0,16.94,6.81,11,9,15
+yes,2016,31,70,0,25.72,9.58,12,9,14
+yes,2008,28,49,0,33.54,13.21,13,9,20
+yes,2017,28,81,0,42,14.97,14,9,15
+yes,2014,32,52,0,50.74,18.18,15,9,15
+yes,2009,34,28,0,59.66,22.83,16,9,13
+yes,2008,35,43,0,64.07,27.11,17,9,12
+yes,2016,37,31,0.1,78.35,28.76,18,9,14
+yes,2009,29,43,0.1,86.71,28.93,19,9,10
+no,2011,34,60,0.2,88.35,24.82,20,9,15
+yes,2008,36,33,0,98.06,30.36,21,9,18
+yes,2009,34,65,0,106.34,32.43,22,9,15
+yes,2016,34,55,0,115.7,36.29,23,9,15
+no,2008,26,47,2,28.88,12.35,24,9,6
+no,2009,29,70,0,36.17,14.36,25,9,15
+yes,2017,31,67,0,45.15,17.89,26,9,15
+no,2017,29,89,4.4,8.74,6.52,27,9,15
+no,2009,27,88,0.5,8.87,3.71,28,9,30
+no,2016,25,56,0.1,15.54,6.1,29,9,20
+no,2012,24,62,0.2,16.72,5.75,30,9,17