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A serial killer is always planning and plotting for his next victim, and as such has very little time for the niceties of life. They are so preoccupied with their killing that they fail to be a part of what surrounds them. The most successful serial killers usually have an alter life, with one life portraying a semblance of normalcy, in which they pretend to be like everyone else. The other life is where they are obsessed with killing and planning a kill. Due to this they suffer from failures at a personal level. The history of all known serial killers is filled with failed marriages and affairs. They even fail at pursuing a career. Their minds are just not made to work hard and make a career. They cant work under someone because they want power, they are known to generally misbehave at their workplace, leading to being fired. Their short temper follows them everywhere, leading to general misbehavior and violence with coworkers. These people also get bored very easily.

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I suppose its being high tide was the cause of this. The banks are thickly lined with bamboo, very tall and stout, very steep, and twelve feet down to the waters edge; the water appeared to be of great depth, and entirely free from snags or fallen timber. The range on the opposite side of the river, for which I was directing my course, being the highest I have seen in this new country, I have named it after His Excellency the Governor in Chief of South Australia, Daly Range, and its highest peak to the north Mount Daly. Before reaching the river, at thirteen miles, we passed a high conspicuous tent hill, at right angle, north east to our line; this I have named Mount Goyder, after the Surveyor General of South Australia. Followed the river on a north course for about a mile, when I was stopped by a deep side creek of thick bamboo, with water; turned to the east, rounded the bamboo, but found myself in a boggy marsh, which I could not cross. This marsh is covered with fine grass, in black alluvial soil, in which is growing a new kind of lily, with a large broad heart shaped leaf a foot or more across; the blossoms are six inches high, resemble a tulip in shape, and are of a deep brilliant rose colour; the seeds are contained in a vessel resembling the rose of a watering pot, with the end of each egg shaped seed showing from the holes, and the colour of this is a bright yellow. The marsh is studded with a great number of melaleuca trees, tall and straight. As I could not cross, I had to round it, which took me a little more than an hour; when I got upon some low undulating rises, not far from Mount Goyder, composed of conglomerate ironstone and ironstone gravel, which seem to produce the springs which supply the marsh. Camped on the side of the marsh, to give the horses the benefit of the green grass, for some of them are still troubled with worms, and are very poor and miserable, and I have no medicine to give them, and there is not a blade of grass on the banks of the riverall has been burnt within the last four days. Native smoke in every direction. Wind south east, with a few clouds.

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Now, let us look at the table of contents. This dataset is seen as a supervised classification problem because it has target which is binary in nature. I told classification because output is binary in nature. Now let us move to build the code using keras with tensorflow backend. This line stands for importing pandas. Pandas is used to read the dataset. Dataset is in form of . csv and is used to separate the dataset into predictor variables i. e input data or number of features as well as target variable or labels or output. Numpy is very important library as deep learning model needs tensors as input. Numpy is used to make tensors from the input data.

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