Improve your data science skills and solve over 330 exercises in Python, NumPy, Pandas and Scikit-Learn!
What you will learn
solve over 330 exercises in NumPy, Pandas and Scikit-Learn
deal with real programming problems in data science
work with documentation and Stack Overflow
guaranteed instructor support
Description
Welcome to the Python for Data Science – NumPy, Pandas & Scikit-Learn course, where you can test your Python programming skills in data science, specifically in NumPy, Pandas and Scikit-Learn.
Some topics you will find in the NumPy exercises:
- working with numpy arrays
- generating numpy arrays
- generating numpy arrays with random values
- iterating through arrays
- dealing with missing values
- working with matrices
- reading/writing files
- joining arrays
- reshaping arrays
- computing basic array statistics
- sorting arrays
- filtering arrays
- image as an array
- linear algebra
- matrix multiplication
- determinant of the matrix
- eigenvalues and eignevectors
- inverse matrix
- shuffling arrays
- working with polynomials
- working with dates
- working with strings in array
- solving systems of equations
Some topics you will find in the Pandas exercises:
- working with Series
- working with DatetimeIndex
- working with DataFrames
- reading/writing files
- working with different data types in DataFrames
- working with indexes
- working with missing values
- filtering data
- sorting data
- grouping data
- mapping columns
- computing correlation
- concatenating DataFrames
- calculating cumulative statistics
- working with duplicate values
- preparing data to machine learning models
- dummy encoding
- working with csv and json filles
- merging DataFrames
- pivot tables
Topics you will find in the Scikit-Learn exercises:
- preparing data to machine learning models
- working with missing values, SimpleImputer class
- classification, regression, clustering
- discretization
- feature extraction
- PolynomialFeatures class
- LabelEncoder class
- OneHotEncoder class
- StandardScaler class
- dummy encoding
- splitting data into train and test set
- LogisticRegression class
- confusion matrix
- classification report
- LinearRegression class
- MAE – Mean Absolute Error
- MSE – Mean Squared Error
- sigmoid() function
- entorpy
- accuracy score
- DecisionTreeClassifier class
- GridSearchCV class
- RandomForestClassifier class
- CountVectorizer class
- TfidfVectorizer class
- KMeans class
- AgglomerativeClustering class
- HierarchicalClustering class
- DBSCAN class
- dimensionality reduction, PCAย analysis
- Association Rules
- LocalOutlierFactor class
- IsolationForest class
- KNeighborsClassifier class
- MultinomialNBย class
- GradientBoostingRegressor class
This course is designed for people who have basic knowledge in Python, NumPy, Pandas and Scikit-Learn packages. It consists of 330 exercises with solutions. This is a great test for people who are learning the Python language and data science and are looking for new challenges. Exercises are also a good test before the interview. Many popular topics were covered in this course.
If you’re wondering if it’s worth taking a step towards Python, don’t hesitate any longer and take the challenge today.
English
language
Content
Tips
A few words from the author
Configuration
Starter
Exercise 0
Solution 0
—– NUMPY —–
Intro
Exercises 1-10
Exercise 1
Solution 1
Exercise 2
Solution 2
Exercise 3
Solution 3
Exercise 4
Solution 4
Exercise 5
Solution 5
Exercise 6
Solution 6
Exercise 7
Solution 7
Exercise 8
Solution 8
Exercise 9
Solution 9
Exercise 10
Solution 10
Exercises 11-20
Exercise 11
Solution 11
Exercise 12
Solution 12
Exercise 13
Solution 13
Exercise 14
Solution 14
Exercise 15
Solution 15
Exercise 16
Solution 16
Exercise 17
Solution 17
Exercise 18
Solution 18
Exercise 19
Solution 19
Exercise 20
Solution 20
Exercises 21-30
Exercise 21
Solution 21
Exercise 22
Solution 22
Exercise 23
Solution 23
Exercise 24
Solution 24
Exercise 25
Solution 25
Exercise 26
Solution 26
Exercise 27
Solution 27
Exercise 28
Solution 28
Exercise 29
Solution 29
Exercise 30
Solution 30
Exercises 31-40
Exercise 31
Solution 31
Exercise 32
Solution 32
Exercise 33
Solution 33
Exercise 34
Solution 34
Exercise 35
Solution 35
Exercise 36
Solution 36
Exercise 37
Solution 37
Exercise 38
Solution 38
Exercise 39
Solution 39
Exercise 40
Solution 40
Exercises 41-50
Exercise 41
Solution 41
Exercise 42
Solution 42
Exercise 43
Solution 43
Exercise 44
Solution 44
Exercise 45
Solution 45
Exercise 46
Solution 46
Exercise 47
Solution 47
Exercise 48
Solution 48
Exercise 49
Solution 49
Exercise 50
Solution 50
Exercises 51-60
Exercise 51
Solution 51
Exercise 52
Solution 52
Exercise 53
Solution 53
Exercise 54
Solution 54
Exercise 55
Solution 55
Exercise 56
Solution 56
Exercise 57
Solution 57
Exercise 58
Solution 58
Exercise 59
Solution 59
Exercise 60
Solution 60
Exercises 61-70
Exercise 61
Solution 61
Exercise 62
Solution 62
Exercise 63
Solution 63
Exercise 64
Solution 64
Exercise 65
Solution 65
Exercise 66
Solution 66
Exercise 67
Solution 67
Exercise 68
Solution 68
Exercise 69
Solution 69
Exercise 70
Solution 70
Exercises 71-80
Exercise 71
Solution 71
Exercise 72
Solution 72
Exercise 73
Solution 73
Exercise 74
Solution 74
Exercise 75
Solution 75
Exercise 76
Solution 76
Exercise 77
Solution 77
Exercise 78
Solution 78
Exercise 79
Solution 79
Exercise 80
Solution 80
Exercises 81-90
Exercise 81
Solution 81
Exercise 82
Solution 82
Exercise 83
Solution 83
Exercise 84
Solution 84
Exercise 85
Solution 85
Exercise 86
Solution 86
Exercise 87
Solution 87
Exercise 88
Solution 88
Exercise 89
Solution 89
Exercise 90
Solution 90
Exercises 91-100
Exercise 91
Solution 91
Exercise 92
Solution 92
Exercise 93
Solution 93
Exercise 94
Solution 94
Exercise 95
Solution 95
Exercise 96
Solution 96
Exercise 97
Solution 97
Exercise 98
Solution 98
Exercise 99
Solution 99
Exercise 100
Solution 100
—– PANDAS —–
Intro
Exercises 101-110
Exercise 101
Solution 101
Exercise 102
Solution 102
Exercise 103
Solution 103
Exercise 104
Solution 104
Exercise 105
Solution 105
Exercise 106
Solution 106
Exercise 107
Solution 107
Exercise 108
Solution 108
Exercise 109
Solution 109
Exercise 110
Solution 110
Exercises 111-120
Exercise 111
Solution 111
Exercise 112
Solution 112
Exercise 113
Solution 113
Exercise 114
Solution 114
Exercise 115
Solution 115
Exercise 116
Solution 116
Exercise 117
Solution 117
Exercise 118
Solution 118
Exercise 119
Solution 119
Exercise 120
Solution 120
Exercises 121-130
Exercise 121
Solution 121
Exercise 122
Solution 122
Exercise 123
Solution 123
Exercise 124
Solution 124
Exercise 125
Solution 125
Exercise 126
Solution 126
Exercise 127
Solution 127
Exercise 128
Solution 128
Exercise 129
Solution 129
Exercise 130
Solution 130
Exercises 131-140
Exercise 131
Solution 131
Exercise 132
Solution 132
Exercise 133
Solution 133
Exercise 134
Solution 134
Exercise 135
Solution 135
Exercise 136
Solution 136
Exercise 137
Solution 137
Exercise 138
Solution 138
Exercise 139
Solution 139
Exercise 140
Solution 140
Exercises 141-150
Exercise 141
Solution 141
Exercise 142
Solution 142
Exercise 143
Solution 143
Exercise 144
Solution 144
Exercise 145
Solution 145
Exercise 146
Solution 146
Exercise 147
Solution 147
Exercise 148
Solution 148
Exercise 149
Solution 149
Exercise 150
Solution 150
Exercises 151-160
Exercise 151
Solution 151
Exercise 152
Solution 152
Exercise 153
Solution 153
Exercise 154
Solution 154
Exercise 155
Solution 155
Exercise 156
Solution 156
Exercise 157
Solution 157
Exercise 158
Solution 158
Exercise 159
Solution 159
Exercise 160
Solution 160
Exercises 161-170
Exercise 161
Solution 161
Exercise 162
Solution 162
Exercise 163
Solution 163
Exercise 164
Solution 164
Exercise 165
Solution 165
Exercise 166
Solution 166
Exercise 167
Solution 167
Exercise 168
Solution 168
Exercise 169
Solution 169
Exercise 170
Solution 170
Exercises 171-180
Exercise 171
Solution 171
Exercise 172
Solution 172
Exercise 173
Solution 173
Exercise 174
Solution 174
Exercise 175
Solution 175
Exercise 176
Solution 176
Exercise 177
Solution 177
Exercise 178
Solution 178
Exercise 179
Solution 179
Exercise 180
Solution 180
Exercises 181-190
Exercise 181
Solution 181
Exercise 182
Solution 182
Exercise 183
Solution 183
Exercise 184
Solution 184
Exercise 185
Solution 185
Exercise 186
Solution 186
Exercise 187
Solution 187
Exercise 188
Solution 188
Exercise 189
Solution 189
Exercise 190
Solution 190
Exercises 191-200
Exercise 191
Solution 191
Exercise 192
Solution 192
Exercise 193
Solution 193
Exercise 194
Solution 194
Exercise 195
Solution 195
Exercise 196
Solution 196
Exercise 197
Solution 197
Exercise 198
Solution 198
Exercise 199
Solution 199
Exercise 200
Solution 200
Exercises 201-210
Exercise 201
Solution 201
Exercise 202
Solution 202
Exercise 203
Solution 203
Exercise 204
Solution 204
Exercise 205
Solution 205
Exercise 206
Solution 206
Exercise 207
Solution 207
Exercise 208
Solution 208
Exercise 209
Solution 209
Exercise 210
Solution 210
Exercises 211-220
Exercise 211
Solution 211
Exercise 212
Solution 212
Exercise 213
Solution 213
Exercise 214
Solution 214
Exercise 215
Solution 215
Exercise 216
Solution 216
Exercise 217
Solution 217
Exercise 218
Solution 218
Exercise 219
Solution 219
Exercise 220
Solution 220
Exercises 221-230
Exercise 221
Solution 221
Exercise 222
Solution 222
Exercise 223
Solution 223
Exercise 224
Solution 224
Exercise 225
Solution 225
Exercise 226
Solution 226
Exercise 227
Solution 227
Exercise 228
Solution 228
Exercise 229
Solution 229
Exercise 230
Solution 230
—– SCIKIT-LEARN —–
Intro
Exercises 231-240
Exercise 231
Solution 231
Exercise 232
Solution 232
Exercise 233
Solution 233
Exercise 234
Solution 234
Exercise 235
Solution 235
Exercise 236
Solution 236
Exercise 237
Solution 237
Exercise 238
Solution 238
Exercise 239
Solution 239
Exercise 240
Solution 240
Exercises 241-250
Exercise 241
Solution 241
Exercise 242
Solution 242
Exercise 243
Solution 243
Exercise 244
Solution 244
Exercise 245
Solution 245
Exercise 246
Solution 246
Exercise 247
Solution 247
Exercise 248
Solution 248
Exercise 249
Solution 249
Exercise 250
Solution 250
Exercises 251-260
Exercise 251
Solution 251
Exercise 252
Solution 252
Exercise 253
Solution 253
Exercise 254
Solution 254
Exercise 255
Solution 255
Exercise 256
Solution 256
Exercise 257
Solution 257
Exercise 258
Solution 258
Exercise 259
Solution 259
Exercise 260
Solution 260
Exercises 261-270
Exercise 261
Solution 261
Exercise 262
Solution 262
Exercise 263
Solution 263
Exercise 264
Solution 264
Exercise 265
Solution 265
Exercise 266
Solution 266
Exercise 267
Solution 267
Exercise 268
Solution 268
Exercise 269
Solution 269
Exercise 270
Solution 270
Exercises 271-280
Exercise 271
Solution 271
Exercise 272
Solution 272
Exercise 273
Solution 273
Exercise 274
Solution 274
Exercise 275
Solution 275
Exercise 276
Solution 276
Exercise 277
Solution 277
Exercise 278
Solution 278
Exercise 279
Solution 279
Exercise 280
Solution 280
Exercises 281-290
Exercise 281
Solution 281
Exercise 282
Solution 282
Exercise 283
Solution 283
Exercise 284
Solution 284
Exercise 285
Solution 285
Exercise 286
Solution 286
Exercise 287
Solution 287
Exercise 288
Solution 288
Exercise 289
Solution 289
Exercise 290
Solution 290
Exercises 291-300
Exercise 291
Solution 291
Exercise 292
Solution 292
Exercise 293
Solution 293
Exercise 294
Solution 294
Exercise 295
Solution 295
Exercise 296
Solution 296
Exercise 297
Solution 297
Exercise 298
Solution 298
Exercise 299
Solution 299
Exercise 300
Solution 300
Exercises 301-310
Exercise 301
Solution 301
Exercise 302
Solution 302
Exercise 303
Solution 303
Exercise 304
Solution 304
Exercise 305
Solution 305
Exercise 306
Solution 306
Exercise 307
Solution 307
Exercise 308
Solution 308
Exercise 309
Solution 309
Exercise 310
Solution 310
Exercises 311-320
Exercise 311
Solution 311
Exercise 312
Solution 312
Exercise 313
Solution 313
Exercise 314
Solution 314
Exercise 315
Solution 315
Exercise 316
Solution 316
Exercise 317
Solution 317
Exercise 318
Solution 318
Exercise 319
Solution 319
Exercise 320
Solution 320
Exercises 321-330
Exercise 321
Solution 321
Exercise 322
Solution 322
Exercise 323
Solution 323
Exercise 324
Solution 324
Exercise 325
Solution 325
Exercise 326
Solution 326
Exercise 327
Solution 327
Exercise 328
Solution 328
Exercise 329
Solution 329
Exercise 330
Solution 330
Configuration (optional)
Info
Google Colab + Google Drive
Google Colab + GitHub
Google Colab – Intro
Anaconda installation – Windows 10
Anaconda installation – Windows 10
Anaconda installation – Linux
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